About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Engagement Manager is a senior client-facing role in the vertical. You own pipeline development, account strategy, and long-term engagement management. This is a builder role for someone who understands the procurement landscape, can engage at the CXO and technical leadership level, and can convert complex AI capability into funded, deployable programmes.
What You'll Do
• Own the day-to-day management of active client engagements, from scoping and alignment through to operational handover and adoption
• Serve as the primary point of contact for clients across the engagement lifecycle; manage expectations proactively and honestly
• Translate client operational problems into precise briefs that deployment and engineering teams can act on
• Track delivery against commitments; surface risks early and drive resolution without waiting for escalation
• Work with Strategic Deployment Engineers to ensure what is being built reflects what the client actually needs
• Support pipeline development: account mapping, stakeholder outreach, and PoC scoping
• Build and maintain working relationships with mid-to-senior client stakeholders; grow account depth over time
• Surface ground-level observations back to the vertical as market intelligence
What We're Looking For
• 4–6 years of professional experience; foundational background at a top-tier consulting firm strongly preferred — with a track record of owning complex analytical work, structuring ambiguous problems, and being accountable for outcomes
• At least 2 years in strategic or complex enterprise GTM, account management, or programme delivery — where you owned client relationships, not just supported them
• Comfort operating in long-cycle, relationship-driven environments where trust is built over months, not deals
• Strong written and verbal communication, able to hold a room with senior stakeholders and write briefs that people act on
• Familiarity with GenAI or ML concepts sufficient to engage credibly with technical teams and translate capability to clients
• Experience in or adjacent to defence, government, critical infrastructure and complex enterprises is a plus
Signals We Look For
• You've owned something - a client, a mandate - and driven it to a conclusion without being
managed to do it
• You've had to deliver a hard message to a client or stakeholder, done it early, and held the
relationship
• You think in structures. You make complex problems legible and actionable for the people who
need to move on them
• You've worked across functions — engineering, finance, policy, or operations — and made thing happen without formal authority
• Experience at a top-tier consulting firm; owning complex analytical problem-solving, structuring ambiguous mandates, and being accountable for outcomes is strongly valued.
Who You Are
• You treat client ownership as a baseline, not a virtue — if the engagement is in trouble, it's your problem to fix
• You are direct; you say what you actually think, including to people more senior than you
• You are comfortable with ambiguity and genuinely energised by environments where the answer isn't obvious
• You move with urgency and bring others with you through influence, not authority
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nEngagement Manager is a senior client-facing role in the vertical. You own pipeline development, account strategy, and long-term engagement management. This is a builder role for someone who understands the procurement landscape, can engage at the CXO and technical leadership level, and can convert complex AI capability into funded, deployable programmes.\n\nWhat You'll Do\n\n• Own the day-to-day management of active client engagements, from scoping and alignment through to operational handover and adoption\n\n• Serve as the primary point of contact for clients across the engagement lifecycle; manage expectations proactively and honestly\n\n• Translate client operational problems into precise briefs that deployment and engineering teams can act on\n\n• Track delivery against commitments; surface risks early and drive resolution without waiting for escalation\n\n• Work with Strategic Deployment Engineers to ensure what is being built reflects what the client actually needs\n\n• Support pipeline development: account mapping, stakeholder outreach, and PoC scoping\n\n• Build and maintain working relationships with mid-to-senior client stakeholders; grow account depth over time\n\n• Surface ground-level observations back to the vertical as market intelligence\n\nWhat We're Looking For\n\n• 4–6 years of professional experience; foundational background at a top-tier consulting firm strongly preferred — with a track record of owning complex analytical work, structuring ambiguous problems, and being accountable for outcomes\n\n• At least 2 years in strategic or complex enterprise GTM, account management, or programme delivery — where you owned client relationships, not just supported them\n\n• Comfort operating in long-cycle, relationship-driven environments where trust is built over months, not deals\n\n• Strong written and verbal communication, able to hold a room with senior stakeholders and write briefs that people act on\n\n• Familiarity with GenAI or ML concepts sufficient to engage credibly with technical teams and translate capability to clients\n\n• Experience in or adjacent to defence, government, critical infrastructure and complex enterprises is a plus\n\nSignals We Look For\n\n• You've owned something - a client, a mandate - and driven it to a conclusion without being\n\nmanaged to do it\n\n• You've had to deliver a hard message to a client or stakeholder, done it early, and held the\n\nrelationship\n\n• You think in structures. You make complex problems legible and actionable for the people who\n\nneed to move on them\n\n• You've worked across functions — engineering, finance, policy, or operations — and made thing happen without formal authority\n\n• Experience at a top-tier consulting firm; owning complex analytical problem-solving, structuring ambiguous mandates, and being accountable for outcomes is strongly valued.\n\nWho You Are\n\n• You treat client ownership as a baseline, not a virtue — if the engagement is in trouble, it's your problem to fix\n\n• You are direct; you say what you actually think, including to people more senior than you\n\n• You are comfortable with ambiguity and genuinely energised by environments where the answer isn't obvious\n\n• You move with urgency and bring others with you through influence, not authority\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"7c42207a-bb56-413c-839f-9ad692df840e","title":"Data Scientist - Evaluations, Chanakya","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-04-17T11:56:48.684+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/7c42207a-bb56-413c-839f-9ad692df840e","applyUrl":"https://jobs.ashbyhq.com/sarvam/7c42207a-bb56-413c-839f-9ad692df840e/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
This is an intellectually demanding role. The Data Scientist anchors the evaluations function for this vertical — designing, building, and maintaining evaluation frameworks that measure model and system quality in operational context. You are not running standard benchmarks. You are building domain-specific eval harnesses for high-stakes use cases where a wrong answer carries real consequences.
You will work closely with the MLOps Engineer, the PM, and the deployment team. The evaluations you design are the mechanism by which the team determines whether what we've built is good enough to deploy — and whether it stays good after deployment.
What You'll Do
• Design and build evaluation frameworks for Sarvam's AI outputs across domain-specific requirements: document comprehension, command summarisation, geospatial reasoning, enterprise workflow automation, and others as they emerge
• Define quality metrics in collaboration with domain experts and clients; translate operational requirements into measurable, defensible signals
• Run structured evaluation cycles pre- and post-deployment; build dashboards that surface model quality in production
• Identify failure modes, edge cases, and distribution shifts — with the bias of someone looking for what's wrong, not confirming what's right
• Collaborate with the MLOps Engineer to operationalise eval pipelines — automated, triggered by deployment events, versioned, and reproducible
• Build and manage domain-specific datasets for fine-tuning, evaluation, and benchmarking — including human annotation workflows where needed
• Publish internal findings and quality reports that feed the product and engineering roadmap
What We're Looking For
• 3–6 years in data science, ML research, or applied AI; at least 2 years working with LLMs in production contexts
• Strong statistics and probability fundamentals — you understand what makes an evaluation valid and what makes it misleading
• Experience designing evaluation frameworks from scratch: custom metrics, inter-rater reliability, red-teaming methodologies
• Python proficiency; comfort with pandas, NumPy, HuggingFace datasets, RAGAS, EleutherAI Eval Harness, LangSmith, or equivalent
• Experience with prompt engineering, model fine-tuning, or RLHF in applied settings
• Ability to work with unstructured domain data: PDFs, doctrine documents, transcripts, and field reports
Bonus Points
• Prior work in high-stakes domains (healthcare, legal, defence, finance) where output quality carries real-world consequences
• Red-teaming or adversarial evaluation experience
Note: We are looking for people who can own the outcomes described here, not people who
match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nThis is an intellectually demanding role. The Data Scientist anchors the evaluations function for this vertical — designing, building, and maintaining evaluation frameworks that measure model and system quality in operational context. You are not running standard benchmarks. You are building domain-specific eval harnesses for high-stakes use cases where a wrong answer carries real consequences.\n\nYou will work closely with the MLOps Engineer, the PM, and the deployment team. The evaluations you design are the mechanism by which the team determines whether what we've built is good enough to deploy — and whether it stays good after deployment.\n\n \n\nWhat You'll Do\n\n• Design and build evaluation frameworks for Sarvam's AI outputs across domain-specific requirements: document comprehension, command summarisation, geospatial reasoning, enterprise workflow automation, and others as they emerge\n\n• Define quality metrics in collaboration with domain experts and clients; translate operational requirements into measurable, defensible signals\n\n• Run structured evaluation cycles pre- and post-deployment; build dashboards that surface model quality in production\n\n• Identify failure modes, edge cases, and distribution shifts — with the bias of someone looking for what's wrong, not confirming what's right\n\n• Collaborate with the MLOps Engineer to operationalise eval pipelines — automated, triggered by deployment events, versioned, and reproducible\n\n• Build and manage domain-specific datasets for fine-tuning, evaluation, and benchmarking — including human annotation workflows where needed\n\n• Publish internal findings and quality reports that feed the product and engineering roadmap\n\n \n\nWhat We're Looking For\n\n• 3–6 years in data science, ML research, or applied AI; at least 2 years working with LLMs in production contexts\n\n• Strong statistics and probability fundamentals — you understand what makes an evaluation valid and what makes it misleading\n\n• Experience designing evaluation frameworks from scratch: custom metrics, inter-rater reliability, red-teaming methodologies\n\n• Python proficiency; comfort with pandas, NumPy, HuggingFace datasets, RAGAS, EleutherAI Eval Harness, LangSmith, or equivalent\n\n• Experience with prompt engineering, model fine-tuning, or RLHF in applied settings\n\n• Ability to work with unstructured domain data: PDFs, doctrine documents, transcripts, and field reports\n\n \n\nBonus Points\n\n• Prior work in high-stakes domains (healthcare, legal, defence, finance) where output quality carries real-world consequences\n\n• Red-teaming or adversarial evaluation experience\n\n \n\nNote: We are looking for people who can own the outcomes described here, not people who\n\nmatch every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\n \n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"dc047f4f-97be-4bb3-a9f1-cebbfc4de3e6","title":"Embedded Data Scientist, Chanakya","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-04-17T11:59:15.600+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/dc047f4f-97be-4bb3-a9f1-cebbfc4de3e6","applyUrl":"https://jobs.ashbyhq.com/sarvam/dc047f4f-97be-4bb3-a9f1-cebbfc4de3e6/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Embedded Data Scientists transform complex client data into structures that AI systems can reliably reason over. You are deployed alongside Strategic Deployment Engineers at client sites, working directly with client data environments to understand, structure, and operationalise large-scale datasets.
This means working with heterogeneous, multimodal data — including documents, images, audio, geospatial data, and structured records — and designing the semantic structures that allow AI systems to interpret and reason over that data.
You will define how data is represented inside the AI system: how documents are segmented, how metadata is defined, how entities and relationships are represented, and how different data modalities connect. You will design ontologies, tagging systems, and knowledge graph structures that allow the reasoning engine to operate effectively.
You will often work with classified or operationally sensitive datasets in environments where standard tooling may not exist. You will own the quality of the data layer in your assigned accounts, ensuring the system is built on a foundation that enables reliable reasoning at scale.
What You'll Do
• Understand the client's data landscape across documents, imagery, audio, geospatial data, and structured records — including data sources, formats, workflows, and domain terminology
• Design domain ontologies representing entities, relationships, hierarchies, and operational concepts within the client's data environment
• Define document segmentation and chunking strategies that preserve semantic meaning and support effective retrieval
• Work with heterogeneous datasets and define how different modalities should be indexed, embedded, and linked
• Collaborate with Strategic Deployment Engineers to translate semantic structures into operational data ingestion pipelines
• Evaluate how well the AI system retrieves and reasons over client data, and refine structures to improve performance
• Collaborate with the models and other teams to define benchmarks and evaluation criteria that reflect real-world deployment conditions
• Translate insights from client data environments into structured signals for product and engineering teams
What We're Looking For
• 2–5 years in data science, applied machine learning, or large-scale data analysis roles
• Strong Python skills including pandas, NumPy, and modern NLP or LLM tooling
• Solid grounding in ML fundamentals — enough to understand model behaviour, contribute to evaluation design, and collaborate with a models team on training and benchmarking
• Experience working with large unstructured datasets including documents, transcripts, reports, or operational records
• Familiarity with LLM-based systems, retrieval pipelines, or vector search systems
• Experience designing or working with data schemas, metadata frameworks, entity models, or semantic data structures
Signals We Look For
• You've worked with real-world, messy, unstructured data and built something rigorous from it
• You are comfortable designing structure where none exists — defining schemas, ontologies, and metadata frameworks from scratch
• You can translate complex data insights into explanations that engineers and client stakeholders can act on
Who You Are
• You are comfortable operating with autonomy in client environments; you don't need a data team around you to do rigorous work
• You move fluently between domain understanding, data modelling, and AI system design
• You move between the technical and the operational: you understand what the data means in the context of what operators actually do with it
Bonus Points
• Familiarity with knowledge graphs, ontologies, or semantic data modelling
• Experience with multimodal datasets (text, imagery, audio, geospatial, or structured data)
• Experience operating in constrained or air-gapped environments
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nEmbedded Data Scientists transform complex client data into structures that AI systems can reliably reason over. You are deployed alongside Strategic Deployment Engineers at client sites, working directly with client data environments to understand, structure, and operationalise large-scale datasets.\n\nThis means working with heterogeneous, multimodal data — including documents, images, audio, geospatial data, and structured records — and designing the semantic structures that allow AI systems to interpret and reason over that data.\n\nYou will define how data is represented inside the AI system: how documents are segmented, how metadata is defined, how entities and relationships are represented, and how different data modalities connect. You will design ontologies, tagging systems, and knowledge graph structures that allow the reasoning engine to operate effectively.\n\nYou will often work with classified or operationally sensitive datasets in environments where standard tooling may not exist. You will own the quality of the data layer in your assigned accounts, ensuring the system is built on a foundation that enables reliable reasoning at scale.\n\nWhat You'll Do\n\n• Understand the client's data landscape across documents, imagery, audio, geospatial data, and structured records — including data sources, formats, workflows, and domain terminology\n\n• Design domain ontologies representing entities, relationships, hierarchies, and operational concepts within the client's data environment\n\n• Define document segmentation and chunking strategies that preserve semantic meaning and support effective retrieval\n\n• Work with heterogeneous datasets and define how different modalities should be indexed, embedded, and linked\n\n• Collaborate with Strategic Deployment Engineers to translate semantic structures into operational data ingestion pipelines\n\n• Evaluate how well the AI system retrieves and reasons over client data, and refine structures to improve performance\n\n• Collaborate with the models and other teams to define benchmarks and evaluation criteria that reflect real-world deployment conditions\n\n• Translate insights from client data environments into structured signals for product and engineering teams\n\nWhat We're Looking For\n\n• 2–5 years in data science, applied machine learning, or large-scale data analysis roles\n\n• Strong Python skills including pandas, NumPy, and modern NLP or LLM tooling\n\n• Solid grounding in ML fundamentals — enough to understand model behaviour, contribute to evaluation design, and collaborate with a models team on training and benchmarking\n\n• Experience working with large unstructured datasets including documents, transcripts, reports, or operational records\n\n• Familiarity with LLM-based systems, retrieval pipelines, or vector search systems\n\n• Experience designing or working with data schemas, metadata frameworks, entity models, or semantic data structures\n\nSignals We Look For\n\n• You've worked with real-world, messy, unstructured data and built something rigorous from it\n\n• You are comfortable designing structure where none exists — defining schemas, ontologies, and metadata frameworks from scratch\n\n• You can translate complex data insights into explanations that engineers and client stakeholders can act on\n\nWho You Are\n\n• You are comfortable operating with autonomy in client environments; you don't need a data team around you to do rigorous work\n\n• You move fluently between domain understanding, data modelling, and AI system design\n\n• You move between the technical and the operational: you understand what the data means in the context of what operators actually do with it\n\nBonus Points\n\n• Familiarity with knowledge graphs, ontologies, or semantic data modelling\n\n• Experience with multimodal datasets (text, imagery, audio, geospatial, or structured data)\n\n• Experience operating in constrained or air-gapped environments\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"b2201b5e-1e96-497a-962c-bca1768f75fd","title":"Embedded Infrastructure Engineer, Chanakya","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-04-17T12:01:22.644+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/b2201b5e-1e96-497a-962c-bca1768f75fd","applyUrl":"https://jobs.ashbyhq.com/sarvam/b2201b5e-1e96-497a-962c-bca1768f75fd/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Embedded Infrastructure Engineers design, build, and maintain the data infrastructure that underpins AI system deployments at client sites. You work alongside Embedded Data Scientists and Strategic Deployment Engineers to ensure that terabyte-scale datasets can be ingested, stored, queried, and served to AI reasoning engines reliably and performantly.
This means building and operating data platforms that handle terabyte-scale persistent data stores and sustained large daily ingestion volumes across structured records, documents, imagery, audio, and geospatial data. You will design and maintain the databases, object stores, ingestion pipelines, and processing layers that make this possible.
You will make critical decisions about storage architecture, indexing strategies, pipeline orchestration, and system performance — often in constrained, air-gapped, or operationally sensitive environments where you cannot rely on managed cloud services or standard enterprise tooling. You will own the reliability and performance of the infrastructure layer in your assigned accounts.
What You'll Do
• Design and operate data storage architectures (relational, document, vector, object storage) capable of managing terabyte-scale datasets across multiple modalities
• Build and maintain ingestion pipelines that reliably process daily data influx — including batch and streaming workloads — with monitoring, error handling, and backpressure management
• Implement indexing, partitioning, and query optimisation strategies that allow AI systems and data scientists to retrieve and reason over large datasets with acceptable latency
• Work with Embedded Data Scientists to translate ontologies, schemas, and semantic structures into performant physical data models and storage configurations
• Deploy and manage database systems, vector stores, and search infrastructure in air-gapped, on-premise, or security-constrained environments
• Build observability into the data platform: monitor pipeline health, storage utilisation, query performance, and ingestion lag
• Own capacity planning and scaling decisions for data infrastructure across assigned client deployments
• Collaborate with product and engineering teams to feed infrastructure learnings back into the core platform and tooling
What We're Looking For
• 4–8 years in data infrastructure, data engineering, platform engineering, or site reliability engineering, ideally at organisations operating at significant data scale
• Direct experience managing multi-terabyte data stores — you have personally built or operated systems handling 10TB+ of persistent data and sustained high-throughput ingestion
• Deep working knowledge of at least two of: PostgreSQL, MongoDB, Elasticsearch, ClickHouse, or comparable systems — including tuning, indexing, partitioning, and operational management
• Experience building production data ingestion pipelines using Apache Kafka, Apache Spark, Airflow, Flink, dbt, or equivalent frameworks
• Strong proficiency in Python and/or Go, with experience writing production infrastructure tooling and automation
• Solid understanding of storage systems and formats: object storage (S3/MinIO), columnar formats (Parquet, ORC), and how to choose the right storage layer for the workload
• Familiarity with containerisation and orchestration (Docker, Kubernetes) in production settings
• Experience with infrastructure-as-code and deployment automation (Terraform or similar)
Bonus Points
• Experience with vector databases or embedding stores (Milvus, Weaviate, Qdrant, pgvector, or similar)
• Experience deploying and operating infrastructure in air-gapped, on-premise, or hybrid environments
Note: We are looking for people who can own the outcomes described here, not
people who match every line of this specification. If this problem excites you and
you believe you can do this work; we want to hear from you.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nEmbedded Infrastructure Engineers design, build, and maintain the data infrastructure that underpins AI system deployments at client sites. You work alongside Embedded Data Scientists and Strategic Deployment Engineers to ensure that terabyte-scale datasets can be ingested, stored, queried, and served to AI reasoning engines reliably and performantly.\n\nThis means building and operating data platforms that handle terabyte-scale persistent data stores and sustained large daily ingestion volumes across structured records, documents, imagery, audio, and geospatial data. You will design and maintain the databases, object stores, ingestion pipelines, and processing layers that make this possible.\n\nYou will make critical decisions about storage architecture, indexing strategies, pipeline orchestration, and system performance — often in constrained, air-gapped, or operationally sensitive environments where you cannot rely on managed cloud services or standard enterprise tooling. You will own the reliability and performance of the infrastructure layer in your assigned accounts.\n\n \n\nWhat You'll Do\n\n• Design and operate data storage architectures (relational, document, vector, object storage) capable of managing terabyte-scale datasets across multiple modalities\n\n• Build and maintain ingestion pipelines that reliably process daily data influx — including batch and streaming workloads — with monitoring, error handling, and backpressure management\n\n• Implement indexing, partitioning, and query optimisation strategies that allow AI systems and data scientists to retrieve and reason over large datasets with acceptable latency\n\n• Work with Embedded Data Scientists to translate ontologies, schemas, and semantic structures into performant physical data models and storage configurations\n\n• Deploy and manage database systems, vector stores, and search infrastructure in air-gapped, on-premise, or security-constrained environments\n\n• Build observability into the data platform: monitor pipeline health, storage utilisation, query performance, and ingestion lag\n\n• Own capacity planning and scaling decisions for data infrastructure across assigned client deployments\n\n• Collaborate with product and engineering teams to feed infrastructure learnings back into the core platform and tooling\n\n \n\nWhat We're Looking For\n\n• 4–8 years in data infrastructure, data engineering, platform engineering, or site reliability engineering, ideally at organisations operating at significant data scale\n\n• Direct experience managing multi-terabyte data stores — you have personally built or operated systems handling 10TB+ of persistent data and sustained high-throughput ingestion\n\n• Deep working knowledge of at least two of: PostgreSQL, MongoDB, Elasticsearch, ClickHouse, or comparable systems — including tuning, indexing, partitioning, and operational management\n\n• Experience building production data ingestion pipelines using Apache Kafka, Apache Spark, Airflow, Flink, dbt, or equivalent frameworks\n\n• Strong proficiency in Python and/or Go, with experience writing production infrastructure tooling and automation\n\n• Solid understanding of storage systems and formats: object storage (S3/MinIO), columnar formats (Parquet, ORC), and how to choose the right storage layer for the workload\n\n• Familiarity with containerisation and orchestration (Docker, Kubernetes) in production settings\n\n• Experience with infrastructure-as-code and deployment automation (Terraform or similar)\n\n \n\nBonus Points\n\n• Experience with vector databases or embedding stores (Milvus, Weaviate, Qdrant, pgvector, or similar)\n\n• Experience deploying and operating infrastructure in air-gapped, on-premise, or hybrid environments\n\n \n\nNote: We are looking for people who can own the outcomes described here, not\n\npeople who match every line of this specification. If this problem excites you and\n\nyou believe you can do this work; we want to hear from you.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\n \n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"9e197c29-5164-42eb-8e74-4f691a794517","title":"Product Manager (Models)","department":"Product","team":"Product","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-04-17T19:17:20.479+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/9e197c29-5164-42eb-8e74-4f691a794517","applyUrl":"https://jobs.ashbyhq.com/sarvam/9e197c29-5164-42eb-8e74-4f691a794517/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
We are hiring a Model Product Manager to own charters for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. You will work closely with research and engineering teams to define roadmaps, run training and evaluation cycles, and ship models that directly improve product experience and reliability.
What You'll Do
• Define and drive roadmaps for ASR, TTS, and evaluation systems.
• Partner with engineering and research teams on data collection, training cycles, and model release planning.
• Set up and own evaluation frameworks and quality metrics covering accuracy, latency, MOS, and robustness.
• Run structured experiments — offline tests, A/Bs, and human evaluations — to quantify model improvements.
• Ensure scalable deployment and monitoring of models in collaboration with infra and data teams.
• Translate user and business needs into measurable model goals.
• Communicate priorities, timelines, and trade-offs clearly across stakeholders.
What We're Looking For
• 3+ years of experience building AI, applied AI, ML products, or model training pipelines.
• Familiarity with the model lifecycle: training, fine-tuning, deployment, and monitoring.
• Strong analytical skills and comfort with data-driven decision making.
• Ability to collaborate effectively across research, engineering, and product teams.
Bonus Points
• Exposure to speech technologies (ASR, TTS) or evaluation pipelines.
• Experience with quality metrics such as WER, CER, MOS, or latency tracking.
• Hands-on familiarity with SQL, Python, or ML toolkits.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nWe are hiring a Model Product Manager to own charters for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. You will work closely with research and engineering teams to define roadmaps, run training and evaluation cycles, and ship models that directly improve product experience and reliability.\n\n \n\nWhat You'll Do\n\n• Define and drive roadmaps for ASR, TTS, and evaluation systems.\n\n• Partner with engineering and research teams on data collection, training cycles, and model release planning.\n\n• Set up and own evaluation frameworks and quality metrics covering accuracy, latency, MOS, and robustness.\n\n• Run structured experiments — offline tests, A/Bs, and human evaluations — to quantify model improvements.\n\n• Ensure scalable deployment and monitoring of models in collaboration with infra and data teams.\n\n• Translate user and business needs into measurable model goals.\n\n• Communicate priorities, timelines, and trade-offs clearly across stakeholders.\n\n \n\nWhat We're Looking For\n\n• 3+ years of experience building AI, applied AI, ML products, or model training pipelines.\n\n• Familiarity with the model lifecycle: training, fine-tuning, deployment, and monitoring.\n\n• Strong analytical skills and comfort with data-driven decision making.\n\n• Ability to collaborate effectively across research, engineering, and product teams.\n\n \n\nBonus Points\n\n• Exposure to speech technologies (ASR, TTS) or evaluation pipelines.\n\n• Experience with quality metrics such as WER, CER, MOS, or latency tracking.\n\n• Hands-on familiarity with SQL, Python, or ML toolkits.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"87d5a5af-ea7d-4b94-a0fa-81dc64e54907","title":"Strategic Deployment Engineer, Chanakya","department":"Deployment Engineering","team":"Deployment Engineering","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-04-17T20:02:28.261+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/87d5a5af-ea7d-4b94-a0fa-81dc64e54907","applyUrl":"https://jobs.ashbyhq.com/sarvam/87d5a5af-ea7d-4b94-a0fa-81dc64e54907/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Strategic Deployment Engineers are Sarvam's forward-deployed technical assets. Embedded with clients, you own the full lifecycle of AI system deployments — including in air-gapped, classified, and on-prem environments — and in complex enterprise accounts where standard playbooks don't apply. You are the technical SPOC for your assigned accounts. Success is measured by whether the system works, the client trusts us, and the deployment creates durable capability — not by ticket closure. You will operate with autonomy and carry real accountability: for the system, for the relationship, and for outcomes.
What You'll Do
• Own end-to-end deployment of Sarvam's full AI stack in client environments — on-prem, air-gapped, classified infrastructure, and complex enterprise accounts
• Serve as technical SPOC for assigned accounts, from scoping and PoC through to steady-state operations
• Diagnose and resolve integration failures, model drift, inference issues, and infrastructure breakdowns without escalation ladders
• Surface field learnings that feed back into the product layer and replicable deployment library
• Manage deployment pipelines, model serving, and environment configuration in non-standard, constrained settings
• Drive client-side adoption through documentation, training, and operational handover where required
• Own client satisfaction (CSAT, time-to-value, uptime) for your accounts; flag risks before they become escalations
What We're Looking For
• 3–6 years in software or ML engineering, with at least one full-cycle on-prem or enterprise deployment delivered end-to-end
• Production-grade experience in Python, Docker, Linux systems administration, REST APIs, and CI/CD pipelines
• Hands-on experience with LLM inference stacks — vLLM, TGI, Ollama, or equivalent — and RAG architectures and vector stores
• Experience deploying in constrained environments: air-gapped networks, limited connectivity, non-standard hardware, or complex regulatory requirements
• Full-stack debugging instinct — comfortable diagnosing across infrastructure, networking, and application layers without a specialist to hand
• Demonstrated ability to ship and maintain a working system end-to-end in environments where reliability was non-negotiable
• Proven ability to navigate ambiguous client requirements and make the call without explicit guidance
Signals We Look For
• You've shipped and maintained a working system end-to-end in environments where the bar for reliability was non-negotiable
• You've navigated ambiguous client requirements and made the call without explicit guidance
• Open-source projects, side products, or entrepreneurial stints that demonstrate technical craft and sustained follow-through
Who You Are
• You treat ambiguity as the baseline — you don't need perfect information to move
• You own outcomes, not tasks. If something is broken in your line of sight, you fix it, flag it, or escalate — you don't wait to be asked
• You operate in high-pressure, forward-deployed environments without daily oversight, and you thrive there
• You are available and responsive when your clients are
• You have a strong bias for action and an equal openness to being wrong
• You are intellectually restless — the hardest, least-understood problems are the ones you find most energising
Bonus Points
• Prior experience with strategic or complex enterprise accounts
• MCP server experience or familiarity with agentic frameworks
• Open-source projects, side products, or entrepreneurial stints that demonstrate technical craft and sustained follow-through
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nStrategic Deployment Engineers are Sarvam's forward-deployed technical assets. Embedded with clients, you own the full lifecycle of AI system deployments — including in air-gapped, classified, and on-prem environments — and in complex enterprise accounts where standard playbooks don't apply. You are the technical SPOC for your assigned accounts. Success is measured by whether the system works, the client trusts us, and the deployment creates durable capability — not by ticket closure. You will operate with autonomy and carry real accountability: for the system, for the relationship, and for outcomes.\n\n \n\nWhat You'll Do\n\n• Own end-to-end deployment of Sarvam's full AI stack in client environments — on-prem, air-gapped, classified infrastructure, and complex enterprise accounts\n\n• Serve as technical SPOC for assigned accounts, from scoping and PoC through to steady-state operations\n\n• Diagnose and resolve integration failures, model drift, inference issues, and infrastructure breakdowns without escalation ladders\n\n• Surface field learnings that feed back into the product layer and replicable deployment library\n\n• Manage deployment pipelines, model serving, and environment configuration in non-standard, constrained settings\n\n• Drive client-side adoption through documentation, training, and operational handover where required\n\n• Own client satisfaction (CSAT, time-to-value, uptime) for your accounts; flag risks before they become escalations\n\n \n\nWhat We're Looking For\n\n• 3–6 years in software or ML engineering, with at least one full-cycle on-prem or enterprise deployment delivered end-to-end\n\n• Production-grade experience in Python, Docker, Linux systems administration, REST APIs, and CI/CD pipelines\n\n• Hands-on experience with LLM inference stacks — vLLM, TGI, Ollama, or equivalent — and RAG architectures and vector stores\n\n• Experience deploying in constrained environments: air-gapped networks, limited connectivity, non-standard hardware, or complex regulatory requirements\n\n• Full-stack debugging instinct — comfortable diagnosing across infrastructure, networking, and application layers without a specialist to hand\n\n• Demonstrated ability to ship and maintain a working system end-to-end in environments where reliability was non-negotiable\n\n• Proven ability to navigate ambiguous client requirements and make the call without explicit guidance\n\n \n\nSignals We Look For\n\n• You've shipped and maintained a working system end-to-end in environments where the bar for reliability was non-negotiable\n\n• You've navigated ambiguous client requirements and made the call without explicit guidance\n\n• Open-source projects, side products, or entrepreneurial stints that demonstrate technical craft and sustained follow-through\n\n \n\nWho You Are\n\n• You treat ambiguity as the baseline — you don't need perfect information to move\n\n• You own outcomes, not tasks. If something is broken in your line of sight, you fix it, flag it, or escalate — you don't wait to be asked\n\n• You operate in high-pressure, forward-deployed environments without daily oversight, and you thrive there\n\n• You are available and responsive when your clients are\n\n• You have a strong bias for action and an equal openness to being wrong\n\n• You are intellectually restless — the hardest, least-understood problems are the ones you find most energising\n\n \n\nBonus Points\n\n• Prior experience with strategic or complex enterprise accounts\n\n• MCP server experience or familiarity with agentic frameworks\n\n• Open-source projects, side products, or entrepreneurial stints that demonstrate technical craft and sustained follow-through\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"e7f783e8-6378-4158-97d5-48a397a91698","title":"ML Ops Engineer, Chanakya","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-04-17T20:08:16.547+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/e7f783e8-6378-4158-97d5-48a397a91698","applyUrl":"https://jobs.ashbyhq.com/sarvam/e7f783e8-6378-4158-97d5-48a397a91698/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
The MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines and environment management. You ensure the system is always on, always accurate, and always auditable.
You will work across both layers: supporting Strategic Deployment Engineers in the field, and owning the model deployment infrastructure for new products being built by the product engineering team. The standards here are uncompromising — a model failure is not a UX problem, it is an operational risk.
What You'll Do
• Design and operate model serving infrastructure across on-prem and cloud deployments
• Build and maintain CI/CD pipelines for model updates, rollbacks, and evaluation-gated deployments
• Monitor model performance in production — latency, accuracy drift, throughput, failure modes — and build systems that surface issues before clients do
• Build evaluation infrastructure: harnesses, A/B testing, and model comparison tooling for field and lab use
• Manage containerised model serving in constrained, air-gapped, and edge environments
• Collaborate with Data Scientists on eval pipelines; own the infrastructure layer underneath
• Create runbooks and operational playbooks that Strategic Deployment Engineers can use in the field
• Own incident response for model-layer failures across all active deployments
What We're Looking For
• 3–5 years in ML engineering or MLOps with at least one production LLM or ML system in continuous operation
• Deep expertise in model serving: vLLM, TGI, Triton Inference Server, or equivalent; experience with quantised model formats (GGUF, AWQ, GPTQ)
• Experience fine-tuning and adapting models in constrained, on-prem, or air-gapped environments, including managing data pipelines and compute limitations specific to the environment
• Containerisation experience with Docker, Kubernetes, or lightweight alternatives (K3s, K0s) for constrained and edge environments; familiarity with deploying across heterogeneous hardware and infrastructure configurations
• Monitoring and observability using Prometheus, Grafana, or equivalent; ability to build custom eval dashboards
• Python fluency; familiarity with fine-tuning workflows and model evaluation frameworks
• Hands-on experience with CI/CD tooling for ML pipelines: GitHub Actions, ArgoCD, DVC, or similar
Signals We Look For
• You've kept a production ML system running under load — and debugged it when it broke
• You don't wait for things to fail; you build systems that tell you when they're about to
• You write documentation that actually gets used, by people who aren't you
Who You Are
• You treat uptime and correctness as equally non-negotiable
• You understand that operational reliability is a form of trust-building
• You're as comfortable optimising inference throughput as you are writing a field runbook for a deployment engineer
• You take ownership of model and stack health across every active deployment — not just the ones you set up
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nThe MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines and environment management. You ensure the system is always on, always accurate, and always auditable.\n\nYou will work across both layers: supporting Strategic Deployment Engineers in the field, and owning the model deployment infrastructure for new products being built by the product engineering team. The standards here are uncompromising — a model failure is not a UX problem, it is an operational risk.\n\n \n\nWhat You'll Do\n\n• Design and operate model serving infrastructure across on-prem and cloud deployments\n\n• Build and maintain CI/CD pipelines for model updates, rollbacks, and evaluation-gated deployments\n\n• Monitor model performance in production — latency, accuracy drift, throughput, failure modes — and build systems that surface issues before clients do\n\n• Build evaluation infrastructure: harnesses, A/B testing, and model comparison tooling for field and lab use\n\n• Manage containerised model serving in constrained, air-gapped, and edge environments\n\n• Collaborate with Data Scientists on eval pipelines; own the infrastructure layer underneath\n\n• Create runbooks and operational playbooks that Strategic Deployment Engineers can use in the field\n\n• Own incident response for model-layer failures across all active deployments\n\n \n\nWhat We're Looking For\n\n• 3–5 years in ML engineering or MLOps with at least one production LLM or ML system in continuous operation\n\n• Deep expertise in model serving: vLLM, TGI, Triton Inference Server, or equivalent; experience with quantised model formats (GGUF, AWQ, GPTQ)\n\n• Experience fine-tuning and adapting models in constrained, on-prem, or air-gapped environments, including managing data pipelines and compute limitations specific to the environment\n\n• Containerisation experience with Docker, Kubernetes, or lightweight alternatives (K3s, K0s) for constrained and edge environments; familiarity with deploying across heterogeneous hardware and infrastructure configurations\n\n• Monitoring and observability using Prometheus, Grafana, or equivalent; ability to build custom eval dashboards\n\n• Python fluency; familiarity with fine-tuning workflows and model evaluation frameworks\n\n• Hands-on experience with CI/CD tooling for ML pipelines: GitHub Actions, ArgoCD, DVC, or similar\n\n \n\nSignals We Look For\n\n• You've kept a production ML system running under load — and debugged it when it broke\n\n• You don't wait for things to fail; you build systems that tell you when they're about to\n\n• You write documentation that actually gets used, by people who aren't you\n\n \n\nWho You Are\n\n• You treat uptime and correctness as equally non-negotiable\n\n• You understand that operational reliability is a form of trust-building\n\n• You're as comfortable optimising inference throughput as you are writing a field runbook for a deployment engineer\n\n• You take ownership of model and stack health across every active deployment — not just the ones you set up\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"3e3b1ad5-99bb-42e6-9093-8953b89e552b","title":"Engagement Principal, Chanakya","department":"Sales/GTM","team":"Sales/GTM","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-04-17T20:10:15.854+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/3e3b1ad5-99bb-42e6-9093-8953b89e552b","applyUrl":"https://jobs.ashbyhq.com/sarvam/3e3b1ad5-99bb-42e6-9093-8953b89e552b/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Engagement Principal is a senior client-facing role in the Chanakya vertical. You own pipeline development, account strategy, and long-term engagement management across defence and strategic sector clients. This is not a quota-chasing sales role — it is a builder role for someone who understands the defence procurement landscape, can engage at the command and technical leadership level, and can convert complex AI capability into funded, deployable programmes.
What You’ll Do
• Own GTM strategy and pipeline for this vertical: from prospecting through programme initiation.
• Build and maintain relationships at the decision-making level: Acquisition directorates, CTO offices, field and HQ command, and PSU leadership.
• Translate Sarvam’s technical capability into proposals and narratives that resonate across technical and command-level stakeholders.
• Lead RFI/RFP responses, PoC scoping, and commercial negotiation — with full technical fluency.
• Collaborate with Strategic Deployment Engineers and the product team to ensure client expectations are grounded in what we can actually deliver.
• Manage account health, renewal strategy, and expansion pipeline for active accounts.
• Surface emerging requirements, policy shifts, and competitor moves that should shape our roadmap.
What We’re Looking For
• 7–12 years of total experience, with at least 4 years in strategic sector GTM, defence procurement consulting, or enterprise sales in a technical domain.
• Track record of closing and managing multi-crore engagements in disciplined or complex environments: defence, critical infrastructure, or complex enterprise clients.
• Functional understanding of defence procurement frameworks: DRDO, DPP, emergency procurement, Make-I/Make-II.
• Strong executive presence: comfortable in flag-level meetings and senior CTO offices, and equally comfortable with working-level technical teams.
• Familiarity with GenAI/ML capability sufficient to hold a credible conversation about what Sarvam’s stack can and cannot do.
• Active network in the Indian defence ecosystem (Army, Navy, IAF, DRDO, DPP offices, PSUs, DSSC) is an advantage.
Bonus Points
• You’ve built a pipeline in a domain where trust takes years — and moved it faster than expected.
• You’ve held a deal together through difficult technical delivery without damaging the client relationship.
• You are well-networked in the defence and strategic sector ecosystem.
• Experience owning complex, ambiguous mandates at a consulting firm, with accountability for outcomes.
Note: We are looking for people who can own the outcomes described here, not people who match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar.
• High ownership and high impact, from day one.
• Everything we do is AI-first, from the way we build and ship to the way we think about problems.
• You can work on problems that could change how an entire country learns, works, and communicates.
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nEngagement Principal is a senior client-facing role in the Chanakya vertical. You own pipeline development, account strategy, and long-term engagement management across defence and strategic sector clients. This is not a quota-chasing sales role — it is a builder role for someone who understands the defence procurement landscape, can engage at the command and technical leadership level, and can convert complex AI capability into funded, deployable programmes.\n\n \n\nWhat You’ll Do\n\n• Own GTM strategy and pipeline for this vertical: from prospecting through programme initiation.\n\n• Build and maintain relationships at the decision-making level: Acquisition directorates, CTO offices, field and HQ command, and PSU leadership.\n\n• Translate Sarvam’s technical capability into proposals and narratives that resonate across technical and command-level stakeholders.\n\n• Lead RFI/RFP responses, PoC scoping, and commercial negotiation — with full technical fluency.\n\n• Collaborate with Strategic Deployment Engineers and the product team to ensure client expectations are grounded in what we can actually deliver.\n\n• Manage account health, renewal strategy, and expansion pipeline for active accounts.\n\n• Surface emerging requirements, policy shifts, and competitor moves that should shape our roadmap.\n\n \n\nWhat We’re Looking For\n\n• 7–12 years of total experience, with at least 4 years in strategic sector GTM, defence procurement consulting, or enterprise sales in a technical domain.\n\n• Track record of closing and managing multi-crore engagements in disciplined or complex environments: defence, critical infrastructure, or complex enterprise clients.\n\n• Functional understanding of defence procurement frameworks: DRDO, DPP, emergency procurement, Make-I/Make-II.\n\n• Strong executive presence: comfortable in flag-level meetings and senior CTO offices, and equally comfortable with working-level technical teams.\n\n• Familiarity with GenAI/ML capability sufficient to hold a credible conversation about what Sarvam’s stack can and cannot do.\n\n• Active network in the Indian defence ecosystem (Army, Navy, IAF, DRDO, DPP offices, PSUs, DSSC) is an advantage.\n\n \n\nBonus Points\n\n• You’ve built a pipeline in a domain where trust takes years — and moved it faster than expected.\n\n• You’ve held a deal together through difficult technical delivery without damaging the client relationship.\n\n• You are well-networked in the defence and strategic sector ecosystem.\n\n• Experience owning complex, ambiguous mandates at a consulting firm, with accountability for outcomes.\n\nNote: We are looking for people who can own the outcomes described here, not people who match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar.\n\n• High ownership and high impact, from day one.\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems.\n\n• You can work on problems that could change how an entire country learns, works, and communicates.\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"10a352d0-a65b-4599-8998-e09deef34349","title":"Frontend Engineer, Chanakya","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-04-17T20:10:41.942+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/10a352d0-a65b-4599-8998-e09deef34349","applyUrl":"https://jobs.ashbyhq.com/sarvam/10a352d0-a65b-4599-8998-e09deef34349/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
These are not form-and-table frontend roles. The frontend engineers on this team build the interfaces that sit on top of Sarvam's AI stack in some of the most demanding environments in the country. You will own the frontend layer of multiple 'atoms' — replicable, deployable product components — and work closely with backend engineers, the PM, and the deployment team. These interfaces must work in offline-first, low-bandwidth, hardened client environments, not just on a MacBook over broadband.
What You'll Do
• Design and build performant, production-grade frontend interfaces for strategic sector and enterprise AI use cases: geospatial overlays, simulation UIs, natural language access layers, ontology viewers, data ingestion dashboards, and complex enterprise workflows
• Own the frontend layer of atoms end-to-end — from component architecture to deployment in client-embedded environments
• Collaborate with backend engineers and the PM to ship complete, scoped atoms into the hands of real users
• Build for constrained environments: offline-first, low-bandwidth, limited hardware — not the idealised development environment
• Contribute to shared frontend infrastructure: component libraries, design system, and state management patterns
• Participate in field testing and client feedback loops with Strategic Deployment Engineers across strategic sector and complex enterprise accounts
What We're Looking For
• 3–6 years in frontend engineering with shipped, production-grade products
• Deep React proficiency; TypeScript; modern CSS (Tailwind or equivalent); strong component architecture instincts
• State management proficiency: Zustand, Redux Toolkit, or equivalent; strong async data patterns
• Data visualisation experience: D3.js, Mapbox/Leaflet, Deck.gl for geospatial, Recharts, or equivalent — at least one in production
• REST and WebSocket API integration; sufficient backend awareness to debug across the boundary
• Performance engineering: bundle optimisation, lazy loading, and rendering performance in low-resource environments
Bonus Points
• WebGL or Three.js for 3D visualisation
• Electron or desktop app experience
• Offline-first or PWA architecture
• Prior work on dashboards, command-and-control UIs, or complex enterprise tooling
Note: We are looking for people who can own the outcomes described here, not people who
match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nThese are not form-and-table frontend roles. The frontend engineers on this team build the interfaces that sit on top of Sarvam's AI stack in some of the most demanding environments in the country. You will own the frontend layer of multiple 'atoms' — replicable, deployable product components — and work closely with backend engineers, the PM, and the deployment team. These interfaces must work in offline-first, low-bandwidth, hardened client environments, not just on a MacBook over broadband.\n\n \n\nWhat You'll Do\n\n• Design and build performant, production-grade frontend interfaces for strategic sector and enterprise AI use cases: geospatial overlays, simulation UIs, natural language access layers, ontology viewers, data ingestion dashboards, and complex enterprise workflows\n\n• Own the frontend layer of atoms end-to-end — from component architecture to deployment in client-embedded environments\n\n• Collaborate with backend engineers and the PM to ship complete, scoped atoms into the hands of real users\n\n• Build for constrained environments: offline-first, low-bandwidth, limited hardware — not the idealised development environment\n\n• Contribute to shared frontend infrastructure: component libraries, design system, and state management patterns\n\n• Participate in field testing and client feedback loops with Strategic Deployment Engineers across strategic sector and complex enterprise accounts\n\n \n\nWhat We're Looking For\n\n• 3–6 years in frontend engineering with shipped, production-grade products\n\n• Deep React proficiency; TypeScript; modern CSS (Tailwind or equivalent); strong component architecture instincts\n\n• State management proficiency: Zustand, Redux Toolkit, or equivalent; strong async data patterns\n\n• Data visualisation experience: D3.js, Mapbox/Leaflet, Deck.gl for geospatial, Recharts, or equivalent — at least one in production\n\n• REST and WebSocket API integration; sufficient backend awareness to debug across the boundary\n\n• Performance engineering: bundle optimisation, lazy loading, and rendering performance in low-resource environments\n\n \n\nBonus Points\n\n• WebGL or Three.js for 3D visualisation\n\n• Electron or desktop app experience\n\n• Offline-first or PWA architecture\n\n• Prior work on dashboards, command-and-control UIs, or complex enterprise tooling\n\nNote: We are looking for people who can own the outcomes described here, not people who\n\nmatch every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"79bb725b-83d4-400c-a207-e2b0a7ccec68","title":"Product Designer ","department":"Product","team":"Product","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-05-19T03:45:42.145+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/79bb725b-83d4-400c-a207-e2b0a7ccec68","applyUrl":"https://jobs.ashbyhq.com/sarvam/79bb725b-83d4-400c-a207-e2b0a7ccec68/application","descriptionHtml":"Ship the best design work of your career.
Design at Sarvam has had an outsized impact on everything we've built so far, and we're now growing the team. We care deeply about design, both the craft and science of it and we're looking to build a world class design team. We're looking for designers who treat design as the core of the product, not a layer applied at the end.
4+ years designing digital products end to end at a product-driven company
Design product concepts that balance vision, craft, speed, and business value.
A portfolio that shows real craft. Typography, hierarchy, motion, interaction, the full stack of visual and UX thinking
Strong UX intuition. You can take abstract ideas and turn them into flows people understand without thinking
Strong product judgment. You think about activation, engagement, and retention as design problems
Range across UX, UI, interaction, and systems
A bias for shipping. You'd rather ship at 80% and learn than polish in private for three weeks
Comfort with ambiguity and ownership. You don't wait to be told what to do
Strong opinions, loosely held. You argue your case and update when you're wrong
Design systems
You know when to use the system, when to break it, and when to evolve it. You've built or maintained one before and understand what it takes to keep it alive.
Strong plus
You already work like an AI-native designer. Claude Code and Cursor are part of how you think, prototype, and ship. You can hold a real conversation about MCP, skills, frontend constraints, and how to set up a design system so AI tools actually work with it
You're data curious. You've lived in Mixpanel or PostHog, can read a funnel, and can write SQL well enough to answer your own product questions.
What's in it for you
What's in it for you
A place to genuinely spread your wings. Room to experiment and be okay with failure.
Work with some of the best design talent in India. Check out sarvam.ai/brand to get a sense of where the bar is.
A place to be ambitious. We want to push the bar on design and set global benchmarks.
High ownership. You pick problems, own them end to end, and yes, you ship to prod. You have access to Mixpanel, customers, engineering codebase.
Build for India. You design for a billion people across languages and contexts most global teams never have to think about.
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
The Solution Architect is the trusted technical advisor who bridges what Sarvam builds and what the client needs. You will work alongside the sales and GTM team to understand prospect requirements, translate them into compelling technical narratives, and ensure every deal moves forward with clarity and momentum. You own the technical relationship with the customer's technology decision maker, end-to-end through the pre-sales cycle.
This is not a support role. You will be in client meetings from day one, shaping how enterprises understand and evaluate Sarvam's AI platform. You will build demos, craft proposals, run pilots, and work directly with product and engineering teams to close the gap between what a client asks for and what Sarvam can deliver. The problems you work on will span voice AI, document intelligence, multilingual agents, and enterprise-grade API platforms.
If you are someone who can hold a technical conversation with an engineering lead and a business conversation with a CXO in the same meeting, this role is for you.
Own the pre-sales cycle for assigned accounts: from discovery and qualification through to technical proposal and pilot design
Build and deliver compelling product demos tailored to each prospect's industry, use case, and technical environment
Create proposals, RFP/RFI responses, solution architecture documents, and commercial models in collaboration with the sales lead
Work with Forward Deployed Software Engineers (FDSEs) and product teams to scope technical feasibility and define pilot success criteria
Develop a deep understanding of Sarvam's full product stack: Samvaad, Studio, Akshar, and the API platform (TTS, STT, document digitisation)
Build reusable demos, case studies, battlecards, and proposal templates that scale across accounts and lift the rest of the team
Track and communicate client feedback and feature gaps back to product teams with clarity and context
Support deal reviews and pipeline discussions with data, timelines, and risk flags
3-5 years in a pre-sales, solutions consulting, technical sales, or product-facing GTM role, ideally in B2B SaaS or enterprise technology
Strong communication skills: you can explain complex technical products in simple, outcome-oriented language
Comfort with technical concepts: APIs, cloud infrastructure, AI/ML workflows. You don't need to write code, but you need to understand how systems connect
Experience building proposals, decks, or solution documents for enterprise buyers
High attention to detail: proposals go out clean, demos run without surprises, timelines are tracked
Willingness to learn fast and go deep on Sarvam's product and technology stack
Prior exposure to AI/ML products, conversational AI, or language technology
Experience working with Indian enterprise or government clients
Familiarity with Indian language ecosystems and the specific challenges of multilingual AI deployment
Background in consulting, business analysis, or solutions engineering
Note: We are looking for people who can own the outcomes described here, not people who match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\n\nABOUT THE ROLE\n\nThe Solution Architect is the trusted technical advisor who bridges what Sarvam builds and what the client needs. You will work alongside the sales and GTM team to understand prospect requirements, translate them into compelling technical narratives, and ensure every deal moves forward with clarity and momentum. You own the technical relationship with the customer's technology decision maker, end-to-end through the pre-sales cycle.\n\nThis is not a support role. You will be in client meetings from day one, shaping how enterprises understand and evaluate Sarvam's AI platform. You will build demos, craft proposals, run pilots, and work directly with product and engineering teams to close the gap between what a client asks for and what Sarvam can deliver. The problems you work on will span voice AI, document intelligence, multilingual agents, and enterprise-grade API platforms.\n\nIf you are someone who can hold a technical conversation with an engineering lead and a business conversation with a CXO in the same meeting, this role is for you.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the pre-sales cycle for assigned accounts: from discovery and qualification through to technical proposal and pilot design\n \n\n - Build and deliver compelling product demos tailored to each prospect's industry, use case, and technical environment\n \n\n - Create proposals, RFP/RFI responses, solution architecture documents, and commercial models in collaboration with the sales lead\n \n\n - Work with Forward Deployed Software Engineers (FDSEs) and product teams to scope technical feasibility and define pilot success criteria\n \n\n - Develop a deep understanding of Sarvam's full product stack: Samvaad, Studio, Akshar, and the API platform (TTS, STT, document digitisation)\n \n\n - Build reusable demos, case studies, battlecards, and proposal templates that scale across accounts and lift the rest of the team\n \n\n - Track and communicate client feedback and feature gaps back to product teams with clarity and context\n \n\n - Support deal reviews and pipeline discussions with data, timelines, and risk flags\n \n\n\nWHAT WE'RE LOOKING FOR\n\n - 3-5 years in a pre-sales, solutions consulting, technical sales, or product-facing GTM role, ideally in B2B SaaS or enterprise technology\n \n\n - Strong communication skills: you can explain complex technical products in simple, outcome-oriented language\n \n\n - Comfort with technical concepts: APIs, cloud infrastructure, AI/ML workflows. You don't need to write code, but you need to understand how systems connect\n \n\n - Experience building proposals, decks, or solution documents for enterprise buyers\n \n\n - High attention to detail: proposals go out clean, demos run without surprises, timelines are tracked\n \n\n - Willingness to learn fast and go deep on Sarvam's product and technology stack\n \n \n\n\nBONUS POINTS\n\n - Prior exposure to AI/ML products, conversational AI, or language technology\n \n\n - Experience working with Indian enterprise or government clients\n \n\n - Familiarity with Indian language ecosystems and the specific challenges of multilingual AI deployment\n \n\n - Background in consulting, business analysis, or solutions engineering\n \n\nNote: We are looking for people who can own the outcomes described here, not people who match every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.\n\n\n\n\nWHY SARVAM?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n \n\n - High ownership and high impact, from day one\n \n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n \n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"f462051e-ec76-45cf-96c5-e0192dd4dcc6","title":"Product Manager On-Device & Edge AI","department":"Product","team":"Product","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-05-12T12:05:29.021+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/f462051e-ec76-45cf-96c5-e0192dd4dcc6","applyUrl":"https://jobs.ashbyhq.com/sarvam/f462051e-ec76-45cf-96c5-e0192dd4dcc6/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Sarvam is our on-device AI product line — purpose-built for enterprise deployments where data sovereignty, low latency, and offline reliability are non-negotiable. We're looking for a Product Manager who understands enterprise AI deeply: the IT admin personas, the procurement cycles, the compliance requirements, and the day-to-day friction that determines whether an AI tool gets embedded into workflows or quietly abandoned.
You'll own the product roadmap for drive B2B GTM alignment, and run iterative experiments to build stickiness in enterprise workflows. You'll work closely with engineering, sales, and customer success to define what enterprise-grade AI looks like when it runs on-device, at the edge, and inside a customer's own security perimeter.
You will co-own as a Full Stack product builder the most ambitious on-device AI problem in India building sovereign models that run at the silicon level across devices. You will be embedded with silicon partners like Qualcomm, Intel, HP, Apple, NVIDIA etc turning research breakthroughs into production-grade optimisations that serve 1.5b indians at min latency. You will architect the Product motion from tuning to agentic orchestration and client deployment, this is not a feature team, it is a platform-defining role. If you want to build the infrastructure layer that makes AI truly accessible across every laptop, phone, glasses and car in India, please apply!
What You'll Do
• Own the product roadmap for Sarvam, from on-device inference to enterprise deployment and fleet management
• Define and prioritise features for IT admin personas — MDM integration, device provisioning, policy enforcement, and enterprise authentication (including Microsoft ecosystem)
• Drive B2B GTM alignment by working with sales and customer success to translate customer pain points into product requirements
• Run iterative experiments in enterprise deployments to identify and improve workflow stickiness and adoption
• Design and ship features for multi-tenant SaaS architecture, including tenant isolation, access controls, and admin tooling
• Define requirements for HITL (human-in-the-loop) and agentic workflows, ensuring enterprise-grade reliability and auditability
• Work across security and compliance requirements — data residency, enterprise auth (SSO, SAML, SCIM), and regulatory standards relevant to enterprise AI
• Collaborate with engineering on API design and integration patterns for enterprise tooling and partner ecosystems
• Define and track product metrics that measure enterprise engagement, retention, and workflow depth
What We're Looking For
• 4–8 years of product management experience, with significant time in enterprise SaaS or B2B AI products
• Demonstrable experience with on-device or edge AI products, or IT fleet management and enterprise device management
• Strong understanding of enterprise authentication and identity — Microsoft ecosystem (Entra ID, Intune, Azure AD), SSO, SAML, or SCIM
• Experience running structured product experiments and using data to drive roadmap decisions in enterprise contexts
• Ability to work directly with IT admin and enterprise buyer personas — understanding their workflows, constraints, and decision criteria
• Comfort with technical depth: APIs, security and compliance requirements, and multi-tenant SaaS architecture
• Background in Computer Science or Electrical Engineering preferred
Bonus Points
• Experience with HITL workflows or agentic AI product design
• Prior exposure to data residency, sovereign cloud, or on-premise enterprise AI deployments
• Familiarity with MDM/UEM platforms (Jamf, Intune, or equivalent)
• Experience working on AI products in regulated industries (BFSI, healthcare, or government)
• Background that combines technical depth with business or GTM exposure
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\nAbout the Role\n\nSarvam is our on-device AI product line — purpose-built for enterprise deployments where data sovereignty, low latency, and offline reliability are non-negotiable. We're looking for a Product Manager who understands enterprise AI deeply: the IT admin personas, the procurement cycles, the compliance requirements, and the day-to-day friction that determines whether an AI tool gets embedded into workflows or quietly abandoned.\n\nYou'll own the product roadmap for drive B2B GTM alignment, and run iterative experiments to build stickiness in enterprise workflows. You'll work closely with engineering, sales, and customer success to define what enterprise-grade AI looks like when it runs on-device, at the edge, and inside a customer's own security perimeter.\n\nYou will co-own as a Full Stack product builder the most ambitious on-device AI problem in India building sovereign models that run at the silicon level across devices. You will be embedded with silicon partners like Qualcomm, Intel, HP, Apple, NVIDIA etc turning research breakthroughs into production-grade optimisations that serve 1.5b indians at http://1.at min latency. You will architect the Product motion from tuning to agentic orchestration and client deployment, this is not a feature team, it is a platform-defining role. If you want to build the infrastructure layer that makes AI truly accessible across every laptop, phone, glasses and car in India, please apply!\n\n\n\n\n\nWhat You'll Do\n\n• Own the product roadmap for Sarvam, from on-device inference to enterprise deployment and fleet management\n\n• Define and prioritise features for IT admin personas — MDM integration, device provisioning, policy enforcement, and enterprise authentication (including Microsoft ecosystem)\n\n• Drive B2B GTM alignment by working with sales and customer success to translate customer pain points into product requirements\n\n• Run iterative experiments in enterprise deployments to identify and improve workflow stickiness and adoption\n\n• Design and ship features for multi-tenant SaaS architecture, including tenant isolation, access controls, and admin tooling\n\n• Define requirements for HITL (human-in-the-loop) and agentic workflows, ensuring enterprise-grade reliability and auditability\n\n• Work across security and compliance requirements — data residency, enterprise auth (SSO, SAML, SCIM), and regulatory standards relevant to enterprise AI\n\n• Collaborate with engineering on API design and integration patterns for enterprise tooling and partner ecosystems\n\n• Define and track product metrics that measure enterprise engagement, retention, and workflow depth\n\n\n\nWhat We're Looking For\n\n• 4–8 years of product management experience, with significant time in enterprise SaaS or B2B AI products\n\n• Demonstrable experience with on-device or edge AI products, or IT fleet management and enterprise device management\n\n• Strong understanding of enterprise authentication and identity — Microsoft ecosystem (Entra ID, Intune, Azure AD), SSO, SAML, or SCIM\n\n• Experience running structured product experiments and using data to drive roadmap decisions in enterprise contexts\n\n• Ability to work directly with IT admin and enterprise buyer personas — understanding their workflows, constraints, and decision criteria\n\n• Comfort with technical depth: APIs, security and compliance requirements, and multi-tenant SaaS architecture\n\n• Background in Computer Science or Electrical Engineering preferred\n\n\n\nBonus Points\n\n• Experience with HITL workflows or agentic AI product design\n\n• Prior exposure to data residency, sovereign cloud, or on-premise enterprise AI deployments\n\n• Familiarity with MDM/UEM platforms (Jamf, Intune, or equivalent)\n\n• Experience working on AI products in regulated industries (BFSI, healthcare, or government)\n\n• Background that combines technical depth with business or GTM exposure\n\n\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\n\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be.\n\n"},{"id":"10f11bb2-fe15-4743-9b3f-81da6743ea6a","title":"Staff Engineer, Product Infrastructure","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-05-12T14:36:10.352+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/10f11bb2-fe15-4743-9b3f-81da6743ea6a","applyUrl":"https://jobs.ashbyhq.com/sarvam/10f11bb2-fe15-4743-9b3f-81da6743ea6a/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
At the heart of Sarvam’s conversational AI platform sits the system that lets our customers build, configure, deploy, and operate voice agents and campaigns — at scale. Today it handles 50M+ minutes of conversations every month, and it’s growing fast.
We’re looking for a Staff Engineer to own this system end-to-end. The data model. The APIs. The orchestration. The reliability. The performance. The standards we hold ourselves to. This is an IC role with the scope and authority of one — no people management, just the systems and the bar.
• The end-to-end backend for agent, campaign, and user management — from data modeling through API design to deployment, in Python and FastAPI
• Workflow orchestration with Temporal for complex, long-running, stateful operations
• Performance and reliability for a multi-tenant SaaS platform operating at sub-second latency SLOs
• Observability — logging, metrics, tracing — so the team can debug production confidently and quickly
• Integration testing — the test infrastructure that lets us ship fast without breaking customer-facing systems
• Close collaboration with the frontend team (Next.js) to deliver an experience worthy of the underlying platform
• Setting the design-first and documentation-first engineering culture within your team — RFCs before code, decisions written down, no tribal knowledge
• 5–10 years building production backend systems, with deep expertise in Python and FastAPI (or Golang)
• A track record of full-stack ownership — you’ve designed systems end-to-end, made the trade-offs, and operated them in production
• Hands-on experience with workflow orchestration at scale, ideally Temporal
• Built and operated high-scale distributed systems — multi-tenant, low-latency, resilient under real load
• Strong PostgreSQL and Redis fundamentals — schema design, query performance, caching strategy
• The judgment to know when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline
• Experience building products on top of LLMs or AI/ML systems
• Background in telephony, VoIP, or SIP infrastructure
• Time at an early- or growth-stage startup — comfort with ambiguity, speed, and ownership
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\n\nTHE ROLE\n\nAt the heart of Sarvam’s conversational AI platform sits the system that lets our customers build, configure, deploy, and operate voice agents and campaigns — at scale. Today it handles 50M+ minutes of conversations every month, and it’s growing fast.\n\nWe’re looking for a Staff Engineer to own this system end-to-end. The data model. The APIs. The orchestration. The reliability. The performance. The standards we hold ourselves to. This is an IC role with the scope and authority of one — no people management, just the systems and the bar.\n\n\n\n\nWHAT YOU’LL OWN\n\n• The end-to-end backend for agent, campaign, and user management — from data modeling through API design to deployment, in Python and FastAPI\n\n• Workflow orchestration with Temporal for complex, long-running, stateful operations\n\n• Performance and reliability for a multi-tenant SaaS platform operating at sub-second latency SLOs\n\n• Observability — logging, metrics, tracing — so the team can debug production confidently and quickly\n\n• Integration testing — the test infrastructure that lets us ship fast without breaking customer-facing systems\n\n• Close collaboration with the frontend team (Next.js) to deliver an experience worthy of the underlying platform\n\n• Setting the design-first and documentation-first engineering culture within your team — RFCs before code, decisions written down, no tribal knowledge\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n• 5–10 years building production backend systems, with deep expertise in Python and FastAPI (or Golang)\n\n• A track record of full-stack ownership — you’ve designed systems end-to-end, made the trade-offs, and operated them in production\n\n• Hands-on experience with workflow orchestration at scale, ideally Temporal\n\n• Built and operated high-scale distributed systems — multi-tenant, low-latency, resilient under real load\n\n• Strong PostgreSQL and Redis fundamentals — schema design, query performance, caching strategy\n\n• The judgment to know when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline\n\n\n\n\nNICE TO HAVE\n\n• Experience building products on top of LLMs or AI/ML systems\n\n• Background in telephony, VoIP, or SIP infrastructure\n\n• Time at an early- or growth-stage startup — comfort with ambiguity, speed, and ownership"},{"id":"2dcb062d-e42b-408d-be15-59ddde900984","title":"ML Researcher, Foundational Models","department":"Models","team":"Models","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-05-21T07:19:23.513+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/2dcb062d-e42b-408d-be15-59ddde900984","applyUrl":"https://jobs.ashbyhq.com/sarvam/2dcb062d-e42b-408d-be15-59ddde900984/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
You'll work on the open-ended questions that decide what our next models look like. This is not a fine-tuning role. It's not an \"apply known recipes\" role. We're looking for a researcher who can take a vague hunch about architecture, optimization, data composition, or training dynamics, design the right ablations, run them at meaningful scale, and turn the result into a decision that ships in a production training run.
You will have direct access to large compute and a tight feedback loop with the engineers building our training stack and data pipelines. You will be expected to disagree with the team and defend your reasoning with evidence.
What You’ll Do
Drive open-ended research on architecture, optimization, scaling behaviour, training stability, and post-training recipes for our next generation of foundational models.
Design and execute ablations at scales that actually inform large-run decisions — including running pre-training experiments end-to-end yourself.
Translate research findings into concrete proposals for the next training run, and own those proposals through to production.
Work shoulder-to-shoulder with the infrastructure and data teams; many of the most important research questions live at that boundary.
Read broadly, write internally, and publish externally when the work merits it.
What We’re Looking For
PhD in Machine Learning, Computer Science, or a closely related field (or in the final stages of completion).
3+ years of research experience post-PhD (or equivalent depth). Exceptional early-career candidates with a strong research record will be considered.
First-author publications at top-tier ML venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or COLM.
Hands-on experience pre-training transformer-based language models from scratch, ideally at 7B+ parameters. You should be able to describe a training run you owned end-to-end, including what went wrong and how you debugged it.
Meaningful contributions to the open-source LLM ecosystem — research code, model releases, datasets, or substantive contributions to widely-used projects.
Fluency in PyTorch and comfort with distributed training. You should be able to read a training loop and immediately see where it might be slow, unstable, or wrong.
Strong intuition for experimental design — knowing what to measure, what to ablate, and what scale a result needs to hold at before it can be trusted.
Bonus Points
Work on novel architectures (mixture-of-experts, state-space models, hybrid architectures) or non-trivial modifications to standard transformers.
Experience with multilingual or multimodal pre-training.
Research contributions in post-training (RLHF, RLVR, distillation, reasoning models).
A track record of taking a research idea from prototype to a capability that shipped.
Why this role?
You will be one of a small number of people in the world who get to make architectural and training-recipe decisions on a frontier-scale model run, with the autonomy and compute to back it up.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\nAbout the Role\n\nYou'll work on the open-ended questions that decide what our next models look like. This is not a fine-tuning role. It's not an \"apply known recipes\" role. We're looking for a researcher who can take a vague hunch about architecture, optimization, data composition, or training dynamics, design the right ablations, run them at meaningful scale, and turn the result into a decision that ships in a production training run.\n\nYou will have direct access to large compute and a tight feedback loop with the engineers building our training stack and data pipelines. You will be expected to disagree with the team and defend your reasoning with evidence.\n\nWhat You’ll Do\n\n - Drive open-ended research on architecture, optimization, scaling behaviour, training stability, and post-training recipes for our next generation of foundational models.\n\n - Design and execute ablations at scales that actually inform large-run decisions — including running pre-training experiments end-to-end yourself.\n\n - Translate research findings into concrete proposals for the next training run, and own those proposals through to production.\n\n - Work shoulder-to-shoulder with the infrastructure and data teams; many of the most important research questions live at that boundary.\n\n - Read broadly, write internally, and publish externally when the work merits it.\n\n\n\nWhat We’re Looking For\n\n - PhD in Machine Learning, Computer Science, or a closely related field (or in the final stages of completion).\n\n - 3+ years of research experience post-PhD (or equivalent depth). Exceptional early-career candidates with a strong research record will be considered.\n\n - First-author publications at top-tier ML venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or COLM.\n\n - Hands-on experience pre-training transformer-based language models from scratch, ideally at 7B+ parameters. You should be able to describe a training run you owned end-to-end, including what went wrong and how you debugged it.\n\n - Meaningful contributions to the open-source LLM ecosystem — research code, model releases, datasets, or substantive contributions to widely-used projects.\n\n - Fluency in PyTorch and comfort with distributed training. You should be able to read a training loop and immediately see where it might be slow, unstable, or wrong.\n\n - Strong intuition for experimental design — knowing what to measure, what to ablate, and what scale a result needs to hold at before it can be trusted.\n\n\n\nBonus Points\n\n - Work on novel architectures (mixture-of-experts, state-space models, hybrid architectures) or non-trivial modifications to standard transformers.\n\n - Experience with multilingual or multimodal pre-training.\n\n - Research contributions in post-training (RLHF, RLVR, distillation, reasoning models).\n\n - A track record of taking a research idea from prototype to a capability that shipped.\n\n\n\nWhy this role?\n\nYou will be one of a small number of people in the world who get to make architectural and training-recipe decisions on a frontier-scale model run, with the autonomy and compute to back it up.\n\n\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\n \n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"e9fb1269-fc4b-4879-aa35-0b75a8c83611","title":"ML Engineer (Training Infra), Foundational Models","department":"Models","team":"Models","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-10-07T10:30:03.130+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/e9fb1269-fc4b-4879-aa35-0b75a8c83611","applyUrl":"https://jobs.ashbyhq.com/sarvam/e9fb1269-fc4b-4879-aa35-0b75a8c83611/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
You will own the infrastructure that our next family of foundational models is trained on. This is a deep systems role: distributed training at scale, parallelism strategies, GPU kernel work, throughput and stability optimization, and the unglamorous reliability engineering that determines whether a frontier training run actually finishes.
The bar is high. A bad MFU number, a slow data loader, a switch flap — these are problems whose cost is measured in weeks and millions of dollars. You will be expected to find them before they happen, and to fix them fast when they do.
What You’ll Do
Build, maintain, and continually push the limits of our distributed training stack across large GPU clusters.
Design and implement parallelism strategies — data, tensor, pipeline, sequence, expert — and reason about which combinations make sense for which architectures and which scales.
Profile and optimize end-to-end training throughput: kernel performance, communication overlap, memory layout, checkpointing, data loading.
Write and tune custom GPU kernels (CUDA, Triton) where off-the-shelf is leaving performance on the table.
Own the reliability of long-running training jobs — fault tolerance, checkpoint integrity, deterministic restarts, automated detection of slow nodes and silent corruption.
Partner closely with researchers to make sure architectural ideas can actually be trained efficiently, and with the data team to keep the pipeline from being the bottleneck.
What We’re Looking For
BS or MS in Computer Science or a closely related technical field (or equivalent demonstrated experience).
3+ years of experience building ML training infrastructure or large-scale distributed systems. Exceptional early-career candidates with a strong systems background will be considered.
Hands-on experience training large models with distributed training frameworks — Megatron-LM, DeepSpeed, FSDP, NeMo, or equivalent. You should have been on-call for a real pretraining run.
Deep working knowledge of GPU architecture, the CUDA programming model, and standard tools for profiling GPU workloads (Nsight, PyTorch profiler, etc.).
Strong PyTorch internals knowledge. You're comfortable reading and modifying low-level training code, not just using high-level APIs.
Meaningful open-source contributions in the training infrastructure ecosystem — Megatron, DeepSpeed, PyTorch, vLLM, Triton, NCCL, or similar.
Bonus Points
Custom CUDA or Triton kernel development with measurable wins on real workloads.
Direct experience training models at 10B+ parameters or on 1000+ GPU clusters.
Familiarity with cluster orchestration and job scheduling (Slurm, Kubernetes) at scale.
Experience with mixed precision (BF16, FP8), quantization-aware training, or other numerical work that has shown up in production training runs.
First-author papers or technical reports on training systems, scaling, or model efficiency.
Why this role?
Frontier model training is one of the hardest systems problems in the world right now, and most of the people doing it well sit at a small handful of labs. You will be doing the same work, with the same autonomy, and your impact will be visible in every model Sarvam ships.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\nAbout the Role\n\nYou will own the infrastructure that our next family of foundational models is trained on. This is a deep systems role: distributed training at scale, parallelism strategies, GPU kernel work, throughput and stability optimization, and the unglamorous reliability engineering that determines whether a frontier training run actually finishes.\n\nThe bar is high. A bad MFU number, a slow data loader, a switch flap — these are problems whose cost is measured in weeks and millions of dollars. You will be expected to find them before they happen, and to fix them fast when they do.\n\nWhat You’ll Do\n\n - Build, maintain, and continually push the limits of our distributed training stack across large GPU clusters.\n\n - Design and implement parallelism strategies — data, tensor, pipeline, sequence, expert — and reason about which combinations make sense for which architectures and which scales.\n\n - Profile and optimize end-to-end training throughput: kernel performance, communication overlap, memory layout, checkpointing, data loading.\n\n - Write and tune custom GPU kernels (CUDA, Triton) where off-the-shelf is leaving performance on the table.\n\n - Own the reliability of long-running training jobs — fault tolerance, checkpoint integrity, deterministic restarts, automated detection of slow nodes and silent corruption.\n\n - Partner closely with researchers to make sure architectural ideas can actually be trained efficiently, and with the data team to keep the pipeline from being the bottleneck.\n\n\n\nWhat We’re Looking For\n\n - BS or MS in Computer Science or a closely related technical field (or equivalent demonstrated experience).\n\n - 3+ years of experience building ML training infrastructure or large-scale distributed systems. Exceptional early-career candidates with a strong systems background will be considered.\n\n - Hands-on experience training large models with distributed training frameworks — Megatron-LM, DeepSpeed, FSDP, NeMo, or equivalent. You should have been on-call for a real pretraining run.\n\n - Deep working knowledge of GPU architecture, the CUDA programming model, and standard tools for profiling GPU workloads (Nsight, PyTorch profiler, etc.).\n\n - Strong PyTorch internals knowledge. You're comfortable reading and modifying low-level training code, not just using high-level APIs.\n\n - Meaningful open-source contributions in the training infrastructure ecosystem — Megatron, DeepSpeed, PyTorch, vLLM, Triton, NCCL, or similar.\n\nBonus Points\n\n - Custom CUDA or Triton kernel development with measurable wins on real workloads.\n\n - Direct experience training models at 10B+ parameters or on 1000+ GPU clusters.\n\n - Familiarity with cluster orchestration and job scheduling (Slurm, Kubernetes) at scale.\n\n - Experience with mixed precision (BF16, FP8), quantization-aware training, or other numerical work that has shown up in production training runs.\n\n - First-author papers or technical reports on training systems, scaling, or model efficiency.\n\nWhy this role?\n\nFrontier model training is one of the hardest systems problems in the world right now, and most of the people doing it well sit at a small handful of labs. You will be doing the same work, with the same autonomy, and your impact will be visible in every model Sarvam ships.\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\n\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"48b2c236-a7e7-475d-b98b-4eb942e85dc7","title":"Staff Engineer, API Platform","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-05-21T06:34:24.832+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/48b2c236-a7e7-475d-b98b-4eb942e85dc7","applyUrl":"https://jobs.ashbyhq.com/sarvam/48b2c236-a7e7-475d-b98b-4eb942e85dc7/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Sarvam's model APIs (ASR, TTS, Vision, LLM, Translate) are how developers and enterprises ship products on our foundation models. The platform handles tens of millions of API calls every day, over HTTP and WebSockets, with metering, billing, prepaid wallets, and rate-limiting all part of the same stack. Today it's FastAPI and Python; we're in the middle of rewriting it in Go.
We're hiring a Staff Engineer to own this platform end-to-end. The architecture. The reliability. The performance. The standards. This is an IC role.
What You’ll Do
The end-to-end design and evolution of the platform, from the moment a request hits the edge to the response that goes back out
The Python→Go rewrite: leading the architecture, setting the patterns, and bringing the platform across without compromising reliability
Audio pipeline engineering: TTS chunking around model context limits, sample-rate adjustments and format encoding, VAD-based silence detection for ASR
Vision pipelines: orchestrating OCR, layout detection, and VLM harnesses for structured data extraction
Streaming infrastructure: WebSocket connections, queue-based batch processing, back pressure, low-latency model invocation
The commercial layer: metering, billing, prepaid wallet management, and rate-limiting, engineered to the same bar as the model APIs themselves
Performance and reliability for a multi-tenant platform operating at sub-second latency SLOs
Observability (logging, metrics, tracing), so the team can debug production confidently and quickly
Integration testing infrastructure: the harness that lets us ship fast without breaking customer-facing APIs
Close partnership with the Inference and MLOps teams, mentoring them on production engineering so model serving is fast, reliable, and operable
Design-first, documentation-first engineering culture within the team: RFCs before code, decisions written down, no tribal knowledge
What We’re Looking For
7+ years building production backend systems at scale
Strong Go in production: you've designed, built, and operated Go services under real load
Comfortable in Python: you'll work in both languages through the rewrite, and FastAPI is the current foundation
A track record of designing and operating high-scale, low-latency, multi-tenant distributed systems
Hands-on experience with real-time / streaming systems: WebSockets, long-lived connections, backpressure
Strong PostgreSQL and Redis fundamentals: schema design, query performance, caching strategy
Comfort running services on Kubernetes in production
The judgment of a senior IC: when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline, and how to bring others up with you
Bonus Points
Experience serving LLMs, ASR, TTS, or vision models in production
Background in audio processing (pyav, FFmpeg, codec / sample-rate work, VAD)
Experience building metering, billing, or wallet / payments infrastructure
Time at an early- or growth-stage startup: comfort with ambiguity, speed, and ownership
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\nAbout the Role\n\nSarvam's model APIs (ASR, TTS, Vision, LLM, Translate) are how developers and enterprises ship products on our foundation models. The platform handles tens of millions of API calls every day, over HTTP and WebSockets, with metering, billing, prepaid wallets, and rate-limiting all part of the same stack. Today it's FastAPI and Python; we're in the middle of rewriting it in Go.\n\nWe're hiring a Staff Engineer to own this platform end-to-end. The architecture. The reliability. The performance. The standards. This is an IC role.\n\nWhat You’ll Do\n\n - The end-to-end design and evolution of the platform, from the moment a request hits the edge to the response that goes back out\n\n - The Python→Go rewrite: leading the architecture, setting the patterns, and bringing the platform across without compromising reliability\n\n - Audio pipeline engineering: TTS chunking around model context limits, sample-rate adjustments and format encoding, VAD-based silence detection for ASR\n\n - Vision pipelines: orchestrating OCR, layout detection, and VLM harnesses for structured data extraction\n\n - Streaming infrastructure: WebSocket connections, queue-based batch processing, back pressure, low-latency model invocation\n\n - The commercial layer: metering, billing, prepaid wallet management, and rate-limiting, engineered to the same bar as the model APIs themselves\n\n - Performance and reliability for a multi-tenant platform operating at sub-second latency SLOs\n\n - Observability (logging, metrics, tracing), so the team can debug production confidently and quickly\n\n - Integration testing infrastructure: the harness that lets us ship fast without breaking customer-facing APIs\n\n - Close partnership with the Inference and MLOps teams, mentoring them on production engineering so model serving is fast, reliable, and operable\n\n - Design-first, documentation-first engineering culture within the team: RFCs before code, decisions written down, no tribal knowledge\n\n\n\nWhat We’re Looking For\n\n - 7+ years building production backend systems at scale\n\n - Strong Go in production: you've designed, built, and operated Go services under real load\n\n - Comfortable in Python: you'll work in both languages through the rewrite, and FastAPI is the current foundation\n\n - A track record of designing and operating high-scale, low-latency, multi-tenant distributed systems\n\n - Hands-on experience with real-time / streaming systems: WebSockets, long-lived connections, backpressure\n\n - Strong PostgreSQL and Redis fundamentals: schema design, query performance, caching strategy\n\n - Comfort running services on Kubernetes in production\n\n - The judgment of a senior IC: when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline, and how to bring others up with you\n\n\n\nBonus Points\n\n - Experience serving LLMs, ASR, TTS, or vision models in production\n\n - Background in audio processing (pyav, FFmpeg, codec / sample-rate work, VAD)\n\n - Experience building metering, billing, or wallet / payments infrastructure\n\n - Time at an early- or growth-stage startup: comfort with ambiguity, speed, and ownership\n\n\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\n \n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"6390e602-7b98-4700-baa9-ced5be8b1651","title":"Product Manager, Monetization & Retention","department":"Product","team":"Product","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-05-25T10:34:28.407+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/6390e602-7b98-4700-baa9-ced5be8b1651","applyUrl":"https://jobs.ashbyhq.com/sarvam/6390e602-7b98-4700-baa9-ced5be8b1651/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
We're building India's sovereign AI platform across API, Agents, Creator Studio, and consumer products. Revenue is no longer a side conversation. It's the conversation. We need a PM who owns the full monetization stack: how we price, how we bill, how we keep users paying, and how we win them back when they don't.
This role sits at the intersection of pricing strategy, billing infrastructure, and lifecycle marketing. You'll work closely with platform, growth, and product teams to turn one-time users into repeat payers and repeat payers into long-term revenue.
What You’ll Do
Plans, pricing, and packaging. Design the pricing architecture across our products. Build tiers that map to user willingness to pay. Run pricing experiments. Decide what's free, what's metered, what's locked behind a plan.
Subscription and billing systems. Own the metering, billing, invoicing, and expiry logic. Work with platform engineering on the wallet, coupons, GST, Razorpay/UPI flows, and renewal mechanics. Make sure the plumbing scales as we add products.
Retention and churn. Build the playbook for keeping users. Diagnose where they drop off. Ship in-product interventions (paywalls, nudges, downgrade flows, win-back offers) and off-product ones (lifecycle email, WhatsApp, payment recovery). Reduce involuntary churn from failed payments.
First-time vs repeat monetization. Design distinct strategies for converting first-time payers and growing repeat purchase value. These are different problems. We expect you to treat them that way.
Loyalty and affiliate programs. Stand up loyalty mechanics that move the needle on LTV. Build affiliate and partnership models where they make sense for our distribution.
What We’re Looking For
5+ years in product management with at least 2-3 years owning monetization, subscriptions, or growth at a startup
You've shipped pricing changes and lived with the results. You know what worked and what blew up
Deep working knowledge of metering, billing, plans, pricing, subscriptions, expiry, and coupons. You've debated Lago vs Orb vs Stripe Billing and have opinions
You've reduced churn before and can talk specifics: cohorts, triggers, interventions, win-back rates
You understand both on-app interventions (paywalls, upsells, downgrade flows) and off-app interventions (lifecycle messaging, payment retries, dunning)
Clear thinker on first-time payer conversion vs repeat purchase economics. You don't conflate the two
Numbers at your fingertips. You don't open a deck without the latest cohort data. ARPU, LTV, payback, retention curves, dunning recovery rates: you live in these dashboards and pull SQL yourself when you need to
Why this role?
Real ownership. You won't be one of ten PMs fighting over a roadmap slot. You own monetization across the company. The pricing page, the billing stack, the retention playbook: yours to shape.
Move metrics at scale. Sarvam's products touch the entire Indian AI ecosystem. Our products span across offering models, APIs, applications.
The best product team you'll work with. Sharp operators from the best product orgs in India. People who ship weekly, argue hard, and ship harder. You'll be pushed and you'll grow fast.
AI at the frontier. You'll sit next to researchers building India's foundation models. Access to the latest cutting-edge models, internal research, and a team that genuinely understands how this technology works.
Independence to bet big. If you have a thesis on pricing, loyalty, or a new monetization motion, bring it. We give PMs room to run their own experiments and own the outcomes, good or bad.
The standard startup perks. Competitive cash, meaningful equity, top-tier health insurance, great Bangalore office. And if you win internal hackathons, you get a PS5.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
We’re hiring a Product Marketing Manager to lead go-to-market strategy for our enterprise products. This role is central to how we communicate value to large enterprises adopting AI at scale. You’ll be responsible for crafting positioning that resonates with executive buyers, launching new features and offerings, and enabling our sales team with the tools they need to close complex deals. You’ll work closely with product and sales to bring Sarvam’s capabilities to life through demos, solution briefs, case studies, and tailored narratives for priority verticals such as financial services, public sector, and healthcare.
We’re looking for someone who understands how enterprise buyers evaluate technology. Someone who can translate capabilities into business outcomes, map our value to real workflows, and support long-cycle sales with credible, clear, and strategic messaging. This is both a builder and operator role, and your work will directly shape how Sarvam grows with India’s largest enterprises.
What You’ll Do
Positioning for Enterprise Segments
Own how we position Sarvam’s enterprise offerings across key verticals. Shape narratives that reflect real workflows, procurement behavior, and stakeholder priorities in each industry.
Sales Enablement
Equip sales teams with the tools they need to engage effectively. Create high-quality decks, one-pagers, solution briefs, competitive overviews, and account-specific messaging that help accelerate deals.
Customer Proof Points
Lead the development of case studies, ROI benchmarks, and customer stories that demonstrate business value and build credibility with prospects.
Demo and Asset Ownership
Partner with product and engineering to deliver demos that reflect real-world use cases. Ensure each demo and asset clearly communicates value, differentiation, and relevance to buyer needs.
Field and Market Insights
Stay close to customer conversations and sales cycles. Gather insights from the field and market landscape to refine positioning and address common objections.
What We're Looking For
4 to 6 years of experience in product marketing or solution marketing, ideally in enterprise SaaS, infrastructure, or AI
A proven track record of enabling enterprise sales teams with sharp messaging and high-quality content that moves deals forward
Familiarity with enterprise buying cycles, procurement patterns, and multi-stakeholder decision-making
Strong writing, storytelling, and communication skills grounded in real customer use cases and measurable impact
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Sarvam runs a large, multi-vendor GPU fleet that serves two demanding workloads on the same physical infrastructure: training jobs that span hundreds of GPUs and must run uninterrupted for weeks, and inference services that must hold a flat p99 under production load. Keeping both healthy at once is a hard, specialized reliability problem, and it is the problem this team exists to solve.
This is not a Kubernetes administration role. We assume Kubernetes fluency as a baseline. The difficulty lies above and below it - in parallel filesystems under heavy checkpoint load, in RDMA fabrics that degrade quietly, in NCCL hangs whose root cause may be the network or the kernel, in driver and firmware drift across heterogeneous hardware, and in distributed training failures that masquerade as infrastructure faults.
We are hiring a team of specialists rather than a set of identical generalists. This posting covers five areas of focus. We expect candidates to bring genuine depth in one and working fluency across the others, because on a shared fleet a storage problem often first appears as a training hang, and the engineer on call must route an incident correctly before anyone can resolve it.
When you apply, please indicate the area of focus that best matches your experience. Strong generalists are welcome; we will place you where your depth is most useful.
What You’ll Do
Operate the GPU fleet end to end across training and serving - provisioning, observability, capacity, and fleet health.
Hold a meaningful on-call rotation, write runbooks that hold up under pressure, and drive postmortems that produce durable fixes.
Build the internal tooling the team relies on, rather than operating off-the-shelf systems alone.
Partner with ML and platform teams to keep large runs alive and serving latency predictable.
What We're Looking For
5+ years in infrastructure or site reliability engineering, including 2+ years operating GPU clusters at scale.*
Demonstrated on-call ownership of infrastructure that mattered, with a track record of postmortems that led to real change.
Proficiency in Python or Go, used to build and maintain internal tooling.
Working fluency across all five areas of focus below - enough to recognize, triage, and route a problem outside your specialty, even if the fix belongs to a teammate.
* For the Storage and Fabric areas of focus, we will weigh deep domain expertise against the GPU-cluster requirement; exceptional specialists with less direct GPU-fleet time are encouraged to apply.
Bring depth in one of the five areas below; expect to be conversational across the rest.
Distributed high-performance storage — operate a parallel filesystem (Lustre, GPFS, WEKA, or BeeGFS) at scale and keep it from stalling under checkpoint-write storms.
Fabric & RDMA networking — InfiniBand or RoCE health, NVLink/NVSwitch topology, and RDMA debugging that catches degradation before the workload feels it.
GPU systems reliability — NCCL debugging, driver and firmware lifecycle across a mixed fleet, and DCGM-based node health at scale.
Kubernetes platform reliability — the GPU operator stack, scheduling (Slurm-on-k8s or pure k8s), multi-tenant isolation, and cost/SLO primitives.
Training & inference workload reliability — hang and straggler detection, checkpoint/restart, and protecting serving p99 with HA and DR.
Bonus Points
Slurm and Kubernetes hybrid environments.
On-premise GPU deployment, including coordination with datacenter operations on power, cooling, and InfiniBand cabling.
Experience with Indian NCPs, DGX SuperPOD, Lambda, CoreWeave, NeevCloud etc.
Multi-tenant GPU isolation (MIG, MPS, time-slicing) in production.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
Platform Engineer - AI Infrastructure
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Sarvam runs a large, multi-vendor GPU fleet that serves two demanding workloads on the same physical infrastructure: training jobs that span hundreds of GPUs, and inference services that must hold a flat p99 under production load. This role builds the platform that sits on top of that fleet - the scheduling, scaling, multi-tenancy, serving, and self-service layers that let our ML teams use thousands of GPUs without a human in the loop for every job.
This is the build side of infrastructure, not the operate side. Our SREs keep the fleet reliable and carry the pager; you build the systems that make the fleet usable - and that make it break less in the first place. The work is heavy software engineering: you will design and ship control-plane services, scheduler integrations, autoscaling controllers, the inference-serving platform, RBAC and quota systems, observability and cost tooling, and the CLI and APIs ML engineers touch every day. You will treat the platform as a product and its internal users as customers.
You should be a strong systems engineer who is fluent in Kubernetes at the controller and internals level, comfortable in Go or Python, and literate in the GPU-specific constraints - MIG and GPU sharing, gang scheduling, topology-aware placement, RDMA - that make this different from a generic cloud platform.
What You’ll Do
This is the surface area of the platform. You won't own all of it at once - you'll take a capability and build it end to end - but you should be excited by most of it.
The serving platform. The control plane that turns a model artifact into a scalable, multi-tenant endpoint: intelligent routing and load balancing across replicas, rollout machinery (canary, blue-green, rollback), traffic splitting, model-version integration etc.
The scaling and elasticity layer. Autoscaling for both training (elastic and gang scaling, scale-to-fit) and serving (queue-depth and utilization-driven), capacity pooling across clusters, burst handling, preemption and reclaim, and efficient bin-packing across GPUs etc.
Scheduling and orchestration. The scheduler layer itself - Kueue, Volcano, Slurm-on-Kubernetes, or custom controllers - with gang scheduling, priority and preemption, queue fairness, quota enforcement, and topology-aware placement that keeps a job's ranks on the same fabric island.
Multi-tenancy, RBAC, and isolation. The tenant model and namespacing, RBAC and policy, quota and fair-share enforcement, MIG / MPS / time-slicing exposed as self-service tiers, secrets and credential management, and audit logging.
Networking components. Platform-level network plumbing - CNI configuration and custom components, ingress and service routing, RDMA / SR-IOV exposure into pods, tenant network policy and segmentation, and multi-cluster connectivity.
Observability and cost tooling. The metrics, logging, and tracing pipeline as a platform feature with cardinality managed at fleet scale.
The storage and data path. Abstractions over the parallel filesystem, caching tiers, volume provisioning, and data-locality-aware placement.
Developer experience and self-service. The layer ML engineers actually touch - CLI, SDK, and APIs, job-submission abstractions and inner-loop tooling.
Provisioning and infrastructure-as-code. The control plane that stands clusters up reproducibly - Terraform, Crossplane, or operators; node lifecycle and image management; driver and firmware rollout automation; and multi-vendor cluster bring-up.
What We're Looking For
5+ years building infrastructure or platform software, with a track record of systems you designed and shipped - not scripts and glue, but services and control planes that others built on.
Strong software engineering in Go or Python, with the judgment to build maintainable systems and the depth to debug them in production.
Kubernetes at the controller and internals level - you have written operators or controllers, understand the scheduler and API machinery, and know where its abstractions leak.
Working literacy in the GPU-specific platform constraints: MIG and GPU sharing, gang scheduling, topology- and fabric-aware placement, and why training and serving contend for the same hardware.
A product mindset toward internal users - you design APIs and abstractions people want to use, and you measure the platform by adoption and self-service, not by tickets closed.
The range to own a capability end to end, from design through rollout to the documentation that makes it self-serve.
Bonus Points
Having built a serving or inference or training platform - routing, autoscaling, and rollout for model endpoints at scale, fine-tuning as a service etc.
Experience with GPU scheduling systems (Kueue, Volcano, Slurm, Run:ai, or custom schedulers) in multi-tenant production.
Multi-tenant isolation (MIG, MPS, time-slicing) shipped as a self-service platform capability rather than a one-off configuration.
Deep Kubernetes networking - CNI internals, custom network components, or RDMA / SR-IOV in pods.
On-premise GPU platform work, including multi-vendor or Indian NCP environments.
Open-source contributions to Kubernetes, scheduling, or GPU-platform projects.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
The Marketing Operations Manager makes Sarvam's marketing engine run. This role owns the systems, data, and processes that connect every campaign, channel, and team, from the website and developer signups through to pipeline and revenue. The job is to make marketing measurable: to know what is working, what is not, and where every rupee and hour is going. This person sits at the centre of a fast-moving marketing team spanning growth, demand generation, product marketing, and developer relations. They build the martech stack, keep the data clean, run attribution, and turn a lean team into a leveraged one by automating the manual and instrumenting the unmeasured.
What You’ll Do
Martech stack ownership. Own selection, integration, and administration of the marketing stack - CRM, marketing automation, analytics, attribution, and enrichment tools. Keep systems connected and data flowing cleanly between them.
Funnel instrumentation. Instrument the full funnel from first visit and developer signup through to MQL, SQL, and closed revenue. Define the stages, the data model, and the definitions everyone agrees on.
Attribution & reporting. Build and maintain attribution models and reporting that show what drives pipeline and usage. Deliver dashboards leadership actually uses to make decisions.
Lead management & routing. Own lead scoring, routing, and the MQL-to-SQL handoff with Sales, with clear SLAs on quality and follow-up. Keep the bridge between Marketing and Sales clean and accountable.
Campaign operations. Set up, QA, and support campaign execution across email, paid, events, and lifecycle. Build the templates, workflows, and processes so campaigns ship faster with fewer errors.
Data hygiene & governance. Keep the database accurate, deduplicated, and compliant. Own segmentation, list management, and data governance including consent and privacy requirements.
Process & enablement. Document workflows, build playbooks, and train the team on the systems. Remove the manual, repetitive work that slows the team down.
AI-native workflows. Use AI to compress every operational cycle — reporting, QA, enrichment, segmentation, and content ops. Treat the ops function itself as a place to apply Sarvam's own tools.
Budget & vendor management. Track marketing spend against pipeline, manage tool contracts and renewals, and surface where budget is and is not paying off.
What We're Looking For
4-6 years in marketing operations, revenue operations, or a closely related role at a B2B technology or SaaS company
Hands-on expertise with at least one major marketing automation platform (HubSpot, Marketo, or similar) and a CRM (Salesforce or similar), including building workflows, scoring, and integrations yourself
Strong analytical capability - you build your own dashboards, define attribution, and pull and model your own data
Track record of designing and improving lead management, funnel instrumentation, and Marketing-to-Sales handoff processe
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nThe Marketing Operations Manager makes Sarvam's marketing engine run. This role owns the systems, data, and processes that connect every campaign, channel, and team, from the website and developer signups through to pipeline and revenue. The job is to make marketing measurable: to know what is working, what is not, and where every rupee and hour is going. This person sits at the centre of a fast-moving marketing team spanning growth, demand generation, product marketing, and developer relations. They build the martech stack, keep the data clean, run attribution, and turn a lean team into a leveraged one by automating the manual and instrumenting the unmeasured.\n\nWhat You’ll Do\n\n - Martech stack ownership. Own selection, integration, and administration of the marketing stack - CRM, marketing automation, analytics, attribution, and enrichment tools. Keep systems connected and data flowing cleanly between them.\n\n - Funnel instrumentation. Instrument the full funnel from first visit and developer signup through to MQL, SQL, and closed revenue. Define the stages, the data model, and the definitions everyone agrees on.\n\n - Attribution & reporting. Build and maintain attribution models and reporting that show what drives pipeline and usage. Deliver dashboards leadership actually uses to make decisions.\n\n - Lead management & routing. Own lead scoring, routing, and the MQL-to-SQL handoff with Sales, with clear SLAs on quality and follow-up. Keep the bridge between Marketing and Sales clean and accountable.\n\n - Campaign operations. Set up, QA, and support campaign execution across email, paid, events, and lifecycle. Build the templates, workflows, and processes so campaigns ship faster with fewer errors.\n\n - Data hygiene & governance. Keep the database accurate, deduplicated, and compliant. Own segmentation, list management, and data governance including consent and privacy requirements.\n\n - Process & enablement. Document workflows, build playbooks, and train the team on the systems. Remove the manual, repetitive work that slows the team down.\n\n - AI-native workflows. Use AI to compress every operational cycle — reporting, QA, enrichment, segmentation, and content ops. Treat the ops function itself as a place to apply Sarvam's own tools.\n\n - Budget & vendor management. Track marketing spend against pipeline, manage tool contracts and renewals, and surface where budget is and is not paying off.\n\nWhat We're Looking For\n\n - 4-6 years in marketing operations, revenue operations, or a closely related role at a B2B technology or SaaS company\n\n - Hands-on expertise with at least one major marketing automation platform (HubSpot, Marketo, or similar) and a CRM (Salesforce or similar), including building workflows, scoring, and integrations yourself\n\n - Strong analytical capability - you build your own dashboards, define attribution, and pull and model your own data\n\n - Track record of designing and improving lead management, funnel instrumentation, and Marketing-to-Sales handoff processe\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\nWork alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\nHigh ownership and high impact, from day one\n\nEverything we do is AI-first, from the way we build and ship to the way we think about problems\n\nYou can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"adbc090f-3aad-4b12-af36-a2f4b55c017e","title":"Product Manager – Media & Entertainment, Sarvam Studio","department":"Product","team":"Product","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-07-27T21:47:19.568+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/adbc090f-3aad-4b12-af36-a2f4b55c017e","applyUrl":"https://jobs.ashbyhq.com/sarvam/adbc090f-3aad-4b12-af36-a2f4b55c017e/application","descriptionHtml":"Product · Bengaluru · Full Time · On-Site
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
Sarvam Studio is our media platform — spanning AI dubbing, live translation, text-to-speech, speech-to-text, and audiobook & podcast generation, powered by a shared foundation of voice cloning, stem separation and music generation. Its users range from individual creators to media houses to large broadcasters and streaming platforms.
We're looking for a Senior Product Manager who knows the media and entertainment industry from the inside — someone who has built products for OTT, broadcast, streaming, or media-tech platforms and understands how content actually gets made, localized, distributed, and monetized. You'll own how Studio serves the media industry: what a dubbing pipeline needs to look like for a broadcaster running hundreds of hours of content a month, what \"broadcast quality\" means for AI-generated voice, and how AI reshapes the economics of content creation and localization.
This is a builder's role, not a strategy-deck role. You'll talk to studios, broadcasters, and creators constantly, ship product every week, and get deep into how our voice and media models behave in production.
Own the Studio product roadmap for media & entertainment customers end-to-end — from discovery with broadcasters, OTT platforms, and content studios, to specs, shipping, and measuring outcomes
Translate media workflows into product: content ingestion, dubbing and localization pipelines, QC and human-in-the-loop review, delivery formats, and rights/compliance requirements that broadcast and streaming customers demand
Define what \"good\" means for AI-generated media — voice quality, lip-sync, emotional nuance, translation fidelity — and build the eval pipelines and feedback loops that hold the product to it
Get into the details of how AI systems behave in production: model selection, prompt and pipeline design, latency and cost budgets, failure modes
Work with the GTM team on pricing, packaging, and positioning for media segments — from per-minute creator pricing to enterprise localization contracts
Be the voice of the media customer internally: relay precise product and model feedback (dubbing failures, audio artefacts, translation misses) to research, and close the loop with customers
Track the AI-in-media landscape — content creation, localization, and playout platforms — and bring a sharp point of view on where Studio should build, partner, or pass
Ship product every week, not plans
5–10 years of product management experience, with real products shipped at meaningful scale
Strong preference for experience in media & entertainment — Video & Content first platforms OTT/streaming platforms (Prime Video, JioHotstar, Zee5, SonyLIV), broadcasters, studios, or media-tech/content-supply-chain companies (Adobe, Amagi, Prime Focus, or similar)
Deep understanding of the content lifecycle: how content is produced, transformed (dubbing, subtitling), packaged, distributed, and monetized across broadcast and streaming
Hands-on familiarity with generative AI in content workflows — voice synthesis, dubbing, video/audio generation — and clear thinking on quality vs. cost vs. speed trade-offs
Strong data skills: comfortable writing SQL, setting up funnels, and defining success metrics that matter (not vanity numbers)
Strong product thinking: you start with the customer's problem, structure vague problem spaces, and ship v1 without over-engineering
High ownership, high agency: you don't wait for permission, and you've stayed up to fix something because you couldn't let it stay broken
Clear communicator — equally effective with a dubbing director, an enterprise buyer, and a research engineer
You've shipped an AI-powered media product — content generation, dubbing, localization, voice, or video generation — that real customers used in production
You've worked with media supply chain, playout, or content operations platforms and understand broadcast-grade quality and delivery standards
You know what good dubbing sounds like — you can hear the difference between passable and broadcast-ready
Experience with usage-based pricing and enterprise media contracts
You've built agents or AI workflows yourself and have opinions on when to use them
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"Product · Bengaluru · Full Time · On-Site\n\n\n\n\nABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\n\nABOUT THE ROLE\n\nSarvam Studio is our media platform — spanning AI dubbing, live translation, text-to-speech, speech-to-text, and audiobook & podcast generation, powered by a shared foundation of voice cloning, stem separation and music generation. Its users range from individual creators to media houses to large broadcasters and streaming platforms.\n\nWe're looking for a Senior Product Manager who knows the media and entertainment industry from the inside — someone who has built products for OTT, broadcast, streaming, or media-tech platforms and understands how content actually gets made, localized, distributed, and monetized. You'll own how Studio serves the media industry: what a dubbing pipeline needs to look like for a broadcaster running hundreds of hours of content a month, what \"broadcast quality\" means for AI-generated voice, and how AI reshapes the economics of content creation and localization.\n\nThis is a builder's role, not a strategy-deck role. You'll talk to studios, broadcasters, and creators constantly, ship product every week, and get deep into how our voice and media models behave in production.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own the Studio product roadmap for media & entertainment customers end-to-end — from discovery with broadcasters, OTT platforms, and content studios, to specs, shipping, and measuring outcomes\n\n - Translate media workflows into product: content ingestion, dubbing and localization pipelines, QC and human-in-the-loop review, delivery formats, and rights/compliance requirements that broadcast and streaming customers demand\n\n - Define what \"good\" means for AI-generated media — voice quality, lip-sync, emotional nuance, translation fidelity — and build the eval pipelines and feedback loops that hold the product to it\n\n - Get into the details of how AI systems behave in production: model selection, prompt and pipeline design, latency and cost budgets, failure modes\n\n - Work with the GTM team on pricing, packaging, and positioning for media segments — from per-minute creator pricing to enterprise localization contracts\n\n - Be the voice of the media customer internally: relay precise product and model feedback (dubbing failures, audio artefacts, translation misses) to research, and close the loop with customers\n\n - Track the AI-in-media landscape — content creation, localization, and playout platforms — and bring a sharp point of view on where Studio should build, partner, or pass\n\n - Ship product every week, not plans\n\n\nWHAT WE'RE LOOKING FOR\n\n - 5–10 years of product management experience, with real products shipped at meaningful scale\n\n - Strong preference for experience in media & entertainment — Video & Content first platforms OTT/streaming platforms (Prime Video, JioHotstar, Zee5, SonyLIV), broadcasters, studios, or media-tech/content-supply-chain companies (Adobe, Amagi, Prime Focus, or similar)\n\n - Deep understanding of the content lifecycle: how content is produced, transformed (dubbing, subtitling), packaged, distributed, and monetized across broadcast and streaming\n\n - Hands-on familiarity with generative AI in content workflows — voice synthesis, dubbing, video/audio generation — and clear thinking on quality vs. cost vs. speed trade-offs\n\n - Strong data skills: comfortable writing SQL, setting up funnels, and defining success metrics that matter (not vanity numbers)\n\n - Strong product thinking: you start with the customer's problem, structure vague problem spaces, and ship v1 without over-engineering\n\n - High ownership, high agency: you don't wait for permission, and you've stayed up to fix something because you couldn't let it stay broken\n\n - Clear communicator — equally effective with a dubbing director, an enterprise buyer, and a research engineer\n\n\nBONUS POINTS\n\n - You've shipped an AI-powered media product — content generation, dubbing, localization, voice, or video generation — that real customers used in production\n\n - You've worked with media supply chain, playout, or content operations platforms and understand broadcast-grade quality and delivery standards\n\n - You know what good dubbing sounds like — you can hear the difference between passable and broadcast-ready\n\n - Experience with usage-based pricing and enterprise media contracts\n\n - You've built agents or AI workflows yourself and have opinions on when to use them\n\n\nWHY SARVAM?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"72783205-b637-4431-9a0e-676a8223b063","title":"Performance Engineer, Kernels","department":"Infrastructure ","team":"Infrastructure ","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[{"location":"Chennai","address":{"postalAddress":{"addressRegion":"Tamil Nadu","addressCountry":"India","addressLocality":"Chennai"}}}],"publishedAt":"2026-08-10T06:26:37.057+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/72783205-b637-4431-9a0e-676a8223b063","applyUrl":"https://jobs.ashbyhq.com/sarvam/72783205-b637-4431-9a0e-676a8223b063/application","descriptionHtml":"Part of Sarvam's Performance Engineering team. We are hiring two specialized performance roles - Kernels (this posting) and Inference (companion posting). They are a vertical stack: the kernels team authors the µs-level GPU code, and the inference team integrates it into a running serving stack and owns the system-level numbers. If your depth genuinely spans both, apply to either and tell us - but most candidates are strongest in one, and we hire for that depth.
Location: [Bengaluru / Chennai / Hybrid / On-site] · Team: Performance Engineering · Level: Senior
Sarvam serves multiple model families - small and large LLMs, Mixture-of-Experts, streaming Indic ASR, and multimodal - across a multi-node, multi-tenant fleet on H100 / H200 / B200. The Performance Engineering team owns the numbers the rest of the company plans against: how fast we serve, how much it costs, and how much we get out of every GPU. This team works at the intersection of the serving runtime, the kernel layer, and the SRE org that keeps the fleet alive.
You will own the kernel layer. Where stock libraries - cuBLAS, cuDNN, FlashAttention, out-of-the-box Triton - leave performance on the table, you will author the custom CUDA, DSL-based, and PTX kernels that close the gap.
This is a hard, narrow, high-leverage role. We hire engineers who have shipped kernels that beat published baselines on real workloads, not engineers who have used kernels. When your code lands, production p99 moves, and you own the explanation of why.
5+ years in ML systems, with 2+ years authoring production CUDA kernels. You have a kernel in production that beat the prior baseline by a measurable margin.
CUDA at kernel-authoring level: thread-block sizing, shared-memory layout, warp primitives, async copies (cp.async, TMA), and MMA selection.
CUTLASS / CuTe DSL at a modify-and-extend level, with comfort in the layout algebra.
PTX at a debug-and-modify level - you have inserted hand-written PTX where the compiler missed.
Nsight Compute and Systems fluency: you read a roofline plot and propose the fix.
Attention kernels: you have authored or modified at least one (FlashAttention-family, paged, MLA, sliding-window, or sparse).
Multi-architecture awareness: what changes from Hopper to Blackwell (TMA, WGMMA, tcgen05).
Communication kernels - NCCL / NVSHMEM authoring, custom collectives, expert-parallel dispatch (DeepEP-style), AFD bipartite comms (StepMesh-style), KV transfer (DualPath / Mooncake). Strongly desired; dedicated comms-specialist headcount is expected later.
Open-source kernel contributions - FlashAttention, CUTLASS examples, vLLM / SGLang kernels, DeepEP, Mooncake, or non-trivial Triton work. For this role, the GitHub filter is the highest-yield signal.
tcgen05, TMA, CTA-cluster launch and distributed shared memory, async pipelining, and the FP4/microscaling paths
Grace-side host-path optimization on GH200 / GB200.
Part of Sarvam's Performance Engineering team. We are hiring two specialized performance roles - Inference (this posting) and Kernels (companion posting). They are a vertical stack: the kernels team authors the µs-level GPU code, and the inference team integrates it into a running serving stack and owns the system-level numbers. If your depth genuinely spans both, apply to either and tell us - but most candidates are strongest in one, and we hire for that depth.
Location: [Bengaluru / Chennai / Hybrid / On-site] · Team: Performance Engineering · Level: Senior
Sarvam serves multiple model families - small and large LLMs, Mixture-of-Experts, Indic ASR & TTS, streaming models and multimodal models - across a multi-node, multi-tenant fleet of Hoppers and Blackwells. The Performance Engineering team owns the numbers the rest of the company plans against: how fast we serve, how much it costs, and how much we get out of every GPU. This team works at the intersection of the serving runtime, the kernel layer, and the SRE org that keeps the fleet alive.
You will own Sarvam's production serving path for large distributed models end to end. You should be source-level fluent in at least one of SGLang, vLLM, NVIDIA Dynamo, or TensorRT-LLM - able to read and modify it where stock behavior does not fit our workloads - and you should operate and extend a distributed-serving stack at depth: disaggregated prefill-decode across nodes, distributed KV/cache transfer, and the routing and scheduling that span them. You will integrate artifacts from the model and kernel teams into a running multi-node, multi-tenant stack, and you will build and train your own speculators - draft models, distillation from the target, acceptance-rate tuning against the live serving distribution - rather than only wiring in stock implementations. You will produce, and defend, the latency and throughput numbers the company plans against, and you will spend significant time in cross-team work with architecture co-design, the kernels team, the model team, and SRE.
Your scoreboard: TTFT (p50 / p95 / p99), TPOT, throughput, GPU utilization, and cost per million tokens.
5+ years in ML systems, with 2+ years on inference serving at production scale. Your record shows concrete outcomes - tokens per day, throughput wins, p99 reductions - rather than \"deployed a model.\"
Experience serving 100B+ parameter models in production across multi-node tensor, pipeline, or expert parallelism.
Source-level fluency in one of SGLang, vLLM, Dynamo, or TensorRT-LLM - you have modified the scheduler, the KV allocator, or the disaggregation path - and reading-level familiarity with the other three.
Distributed serving at operating-and-extending depth: a disaggregated prefill-decode stack, distributed KV/cache transfer (Mooncake or equivalent), and cross-node routing and scheduling. You have run one of these in production and modified it where it didn't fit.
Speculative decoding as a build-and-train competency: you have trained your own draft models or speculators (EAGLE / DFlash or otherwise), distilled them from a target model, measured and tuned acceptance rate against a real serving distribution, and composed speculation with the rest of the stack - not only integrated a stock implementation.
Deep understanding of KV cache internals: block tables, copy-on-write, prefix sharing, and fragmentation.
Working command of TP / PP / EP, NCCL primitives, and how they interact with the scheduler.
Multi-tenant serving: model co-location and MIG / MPS isolation.
Profiling fluency with Nsight Systems, framework tracing, and py-spy / perf.
C++ and CUDA at a read-and-modify level.
On-call ownership of an inference SLO.
Upstream contributions to SGLang, vLLM, Dynamo, llm-d, TensorRT-LLM, or LMDeploy on non-trivial code paths.
Direct production experience with Dynamo or llm-d at scale.
Having operated a forked runtime in production.
Published or shipped speculator work - a draft model or speculative-decoding technique you trained and measured.
MoE serving at scale, long-context (128K+), multi-model serving, or Indic and multilingual workloads.
About the Role
Sarvam’s Work Agents team builds the harness for developing, evaluating, and serving autonomous agents at scale. The harness is the backbone behind how agents are run, tested, orchestrated, and deployed and it needs infrastructure that is as reliable and fast-moving as the agents themselves.
This role sits across both sides of infrastructure. You will build the tooling, pipelines, and automation that make the harness self-service and reproducible, and you will operate the day-to-day keeping CI/CD healthy, environments consistent, networks and tunnels up, and deployments running smoothly. It is a mix of engineering and operations, not pure SRE-on-call and not pure platform-product work.
You should be a hands-on DevOps engineer fluent in Kubernetes, comfortable with cloud infrastructure (AWS primarily, Azure secondarily), and literate in the networking and CI/CD concerns that keep a multi-cluster, multi-tenant environment running. You will work closely with the engineers building the harness; your job is to make their work shippable, observable, and operable at scale.
What You’ll Do
• Kubernetes platform operations. Run and maintain multi-cluster Kubernetes environments — upgrades, node lifecycle, RBAC, namespace hygiene, policy enforcement, and troubleshooting across environments.
• CI/CD and release engineering. Own the pipelines that take the harness from commit to production - build, test, scan, sign, and deploy across environments, with rollout patterns (canary, blue-green, rollback) wired into the platform.
• Cloud infrastructure (AWS primary, Azure secondary). Provision and maintain cloud resources via infrastructure-as-code - VPCs, subnets, IAM, compute, storage, and managed services - with reproducibility and cost awareness built in.
• Networking and connectivity. Manage platform-level network plumbing — CNI configuration, ingress and service routing, network policies, and secure cross-cluster and on-prem connectivity via VPN tunnels, peering, and transit paths.
• Automation and tooling. Build the glue that makes the harness self-service — CLIs, scripts, operators, and internal tooling that reduce toil and let engineers get work done without filing tickets.
• Observability and reliability. Maintain the metrics, logging, and tracing pipeline; set and tune alerts; and participate in incident response and postmortems so the platform keeps getting better.
• Provisioning and infrastructure-as-code. Keep environments standing reproducibly — Terraform / Crossplane, image management, and multi-vendor cluster bring-up alongside the team.
What We’re Looking For
• 3+ years in DevOps, SRE, or platform / infrastructure engineering, with hands-on ownership of systems you ran and improved - not just scripts that worked once.
• Kubernetes fluency - you can operate clusters day-to-day, understand the scheduler and API machinery well enough to debug failures, and have written or maintained operators, Helm charts, or controllers.
• Cloud proficiency - solid AWS (VPC, EC2, EKS, IAM, storage, networking) with working knowledge of Azure equivalents; comfort provisioning via Terraform or similar IaC.
• Networking depth - practical understanding of CNI, ingress, service routing, network policies, and VPN / tunneling (IPsec, WireGuard, site-to-site) for secure multi-cluster and hybrid connectivity.
• CI/CD experience - you have built and maintained pipelines (GitLab CI, GitHub Actions, Argo CD, Flux, or similar) and understand release engineering at a level beyond “it deploys on push.”
• DevOps tooling chops - comfort across the toolchain: container runtimes, Helm / Kustomize, Prometheus / Grafana, ELK or Loki, and the judgment to pick the right tool for the job.
• Strong software engineering fundamentals - Python or Go preferred; you write maintainable automation, not throwaway scripts.
• A product mindset toward internal users - you measure success by adoption and reduced toil, not by tickets closed.
Bonus Points
• Experience with on-premise infrastructure and deployments.
• Experience operating in air-gapped or restricted-network environments - offline package management, image registries, and disconnected cluster bring-up.
• Multi-cluster or multi-tenant Kubernetes in production, including RBAC and isolation as self-service.
• Open-source contributions to Kubernetes, CI/CD, or infrastructure tooling.
","descriptionPlain":"About the Role\n\nSarvam’s Work Agents team builds the harness for developing, evaluating, and serving autonomous agents at scale. The harness is the backbone behind how agents are run, tested, orchestrated, and deployed and it needs infrastructure that is as reliable and fast-moving as the agents themselves.\n\nThis role sits across both sides of infrastructure. You will build the tooling, pipelines, and automation that make the harness self-service and reproducible, and you will operate the day-to-day keeping CI/CD healthy, environments consistent, networks and tunnels up, and deployments running smoothly. It is a mix of engineering and operations, not pure SRE-on-call and not pure platform-product work.\n\nYou should be a hands-on DevOps engineer fluent in Kubernetes, comfortable with cloud infrastructure (AWS primarily, Azure secondarily), and literate in the networking and CI/CD concerns that keep a multi-cluster, multi-tenant environment running. You will work closely with the engineers building the harness; your job is to make their work shippable, observable, and operable at scale. \n\nWhat You’ll Do\n\n• Kubernetes platform operations. Run and maintain multi-cluster Kubernetes environments — upgrades, node lifecycle, RBAC, namespace hygiene, policy enforcement, and troubleshooting across environments.\n\n• CI/CD and release engineering. Own the pipelines that take the harness from commit to production - build, test, scan, sign, and deploy across environments, with rollout patterns (canary, blue-green, rollback) wired into the platform.\n\n• Cloud infrastructure (AWS primary, Azure secondary). Provision and maintain cloud resources via infrastructure-as-code - VPCs, subnets, IAM, compute, storage, and managed services - with reproducibility and cost awareness built in.\n\n• Networking and connectivity. Manage platform-level network plumbing — CNI configuration, ingress and service routing, network policies, and secure cross-cluster and on-prem connectivity via VPN tunnels, peering, and transit paths.\n\n• Automation and tooling. Build the glue that makes the harness self-service — CLIs, scripts, operators, and internal tooling that reduce toil and let engineers get work done without filing tickets.\n\n• Observability and reliability. Maintain the metrics, logging, and tracing pipeline; set and tune alerts; and participate in incident response and postmortems so the platform keeps getting better.\n\n• Provisioning and infrastructure-as-code. Keep environments standing reproducibly — Terraform / Crossplane, image management, and multi-vendor cluster bring-up alongside the team.\n\nWhat We’re Looking For\n\n• 3+ years in DevOps, SRE, or platform / infrastructure engineering, with hands-on ownership of systems you ran and improved - not just scripts that worked once.\n\n• Kubernetes fluency - you can operate clusters day-to-day, understand the scheduler and API machinery well enough to debug failures, and have written or maintained operators, Helm charts, or controllers.\n\n• Cloud proficiency - solid AWS (VPC, EC2, EKS, IAM, storage, networking) with working knowledge of Azure equivalents; comfort provisioning via Terraform or similar IaC.\n\n• Networking depth - practical understanding of CNI, ingress, service routing, network policies, and VPN / tunneling (IPsec, WireGuard, site-to-site) for secure multi-cluster and hybrid connectivity.\n\n• CI/CD experience - you have built and maintained pipelines (GitLab CI, GitHub Actions, Argo CD, Flux, or similar) and understand release engineering at a level beyond “it deploys on push.”\n\n• DevOps tooling chops - comfort across the toolchain: container runtimes, Helm / Kustomize, Prometheus / Grafana, ELK or Loki, and the judgment to pick the right tool for the job.\n\n• Strong software engineering fundamentals - Python or Go preferred; you write maintainable automation, not throwaway scripts.\n\n• A product mindset toward internal users - you measure success by adoption and reduced toil, not by tickets closed.\n\nBonus Points\n\n• Experience with on-premise infrastructure and deployments.\n\n• Experience operating in air-gapped or restricted-network environments - offline package management, image registries, and disconnected cluster bring-up.\n\n• Multi-cluster or multi-tenant Kubernetes in production, including RBAC and isolation as self-service.\n\n• Open-source contributions to Kubernetes, CI/CD, or infrastructure tooling."},{"id":"48c228f1-0762-4d4e-9d83-ae8f751ce19d","title":"Deployment Strategist","department":"Deployment Engineering","team":"Deployment Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-11T10:45:16.628+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/48c228f1-0762-4d4e-9d83-ae8f751ce19d","applyUrl":"https://jobs.ashbyhq.com/sarvam/48c228f1-0762-4d4e-9d83-ae8f751ce19d/application","descriptionHtml":"India's largest banks, insurers, digital natives and government departments are not short of AI pilots. They are short of AI in production.
Closing that gap is the hardest problem in enterprise AI, and it is what Deployment Strategists at Sarvam do. You own the arc of a customer engagement, from the first proof of concept through to their systems running live, handling millions of real conversations across Indian languages and delivering the outcomes we signed up to. If Sarvam's technology is going to reach a billion people rather than sit in a slide deck, it happens through this team.
Every large institution is its own environment, with its own core systems, telephony, CRM, compliance perimeter and operational reality. You work out what it takes for an AI system to hold up inside that specific environment, run the programme, and stay accountable until it is live and performing.
Our engagements run from focused proofs of concept to multi-year programmes inside India's biggest enterprises and government departments, worth crores and reaching millions of people. We are hiring across levels to cover that range.
Sarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.
You own the outcome
You are not tracking someone else's plan. You own the scope, the timeline, and whether the numbers land. When a deployment works, it is because you made it work.
The room where AI meets the Indian economy
You will work directly with the leadership of India's largest banks, insurers and NBFCs, with central and state government departments, and with the fastest-moving companies in automotive, travel, healthcare, education and the digital-native economy. Different industries, different constraints, systems that go into live operation. Few roles in India offer this view of how AI actually reaches people.
Own deployments end to end, from proof of concept through to the system running in production and hitting its committed KPIs.
Run the proof of concept where a customer needs to see it work before committing at scale. Getting to a convincing result quickly is often what unlocks the full deployment.
Do the implementation discovery a specific customer requires: their integrations, their processes, their data reality, their compliance constraints, their edge cases, and shape the solution around what you find.
Run the programme: plan, timelines, dependencies, risks, scope discipline, and the difficult conversations when something is off track.
Be the customer's point of contact through delivery.
Work with the deployment team on your engagement, whether that is Sarvam's Agent Engineers, certified partner teams, or both, and hold the delivery quality bar for the engagement.
Drive adoption on the ground. A system that works technically but is not used by the collections team, the branch staff or the citizen helpdesk has not landed. Getting it genuinely adopted is part of the job.
Own the documentation and operating charter for your deployment: how the system is run, monitored and scaled after go-live, so it holds up long after the launch.
Write the process and engagement playbooks that make the next deployment in that motion faster: how it gets scoped, planned, integrated and adopted.
We are hiring across levels, from 4+ years of experience. What matters more than years is whether you have owned an outcome in front of a customer and delivered it.
You have delivered, not just managed. You have owned client-facing delivery where the outcome was yours, whether that is a workstream inside a large programme or the whole programme itself. Most likely from consulting, high-quality systems integration, or an enterprise delivery organisation. You have carried a date and a number, not just a project plan.
You are technical enough to be taken seriously. You do not need to write production code, but you should be able to argue with an engineer about an integration approach, understand why an evaluation is failing, and reason about latency, reliability and scale without hand-waving.
You understand agentic AI. How LLMs and agents behave in production, why prompts and evaluations matter, and what breaks at scale. Ideally you have delivered AI systems yourself.
You have worked inside hard environments. Large regulated enterprises, banks, insurers, or the public sector, where procurement is slow, integration is messy, and change management is most of the job.
You communicate precisely. Crisp writing, clear escalation, no ambiguity about status.
Sarvam is committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment regardless of background, identity, or personal characteristics. We believe the best AI for India can only be built by a team that reflects India.
","descriptionPlain":"India's largest banks, insurers, digital natives and government departments are not short of AI pilots. They are short of AI in production.\n\nClosing that gap is the hardest problem in enterprise AI, and it is what Deployment Strategists at Sarvam do. You own the arc of a customer engagement, from the first proof of concept through to their systems running live, handling millions of real conversations across Indian languages and delivering the outcomes we signed up to. If Sarvam's technology is going to reach a billion people rather than sit in a slide deck, it happens through this team.\n\nEvery large institution is its own environment, with its own core systems, telephony, CRM, compliance perimeter and operational reality. You work out what it takes for an AI system to hold up inside that specific environment, run the programme, and stay accountable until it is live and performing.\n\nOur engagements run from focused proofs of concept to multi-year programmes inside India's biggest enterprises and government departments, worth crores and reaching millions of people. We are hiring across levels to cover that range.\n\n\nABOUT SARVAM\n\nSarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.\n\n\n\nWHAT THIS ROLE PROMISES YOU\n\nYou own the outcome\n\nYou are not tracking someone else's plan. You own the scope, the timeline, and whether the numbers land. When a deployment works, it is because you made it work.\n\nThe room where AI meets the Indian economy\n\nYou will work directly with the leadership of India's largest banks, insurers and NBFCs, with central and state government departments, and with the fastest-moving companies in automotive, travel, healthcare, education and the digital-native economy. Different industries, different constraints, systems that go into live operation. Few roles in India offer this view of how AI actually reaches people.\n\n\nWHAT YOU'LL DO\n\n - Own deployments end to end, from proof of concept through to the system running in production and hitting its committed KPIs.\n\n - Run the proof of concept where a customer needs to see it work before committing at scale. Getting to a convincing result quickly is often what unlocks the full deployment.\n\n - Do the implementation discovery a specific customer requires: their integrations, their processes, their data reality, their compliance constraints, their edge cases, and shape the solution around what you find.\n\n - Run the programme: plan, timelines, dependencies, risks, scope discipline, and the difficult conversations when something is off track.\n\n - Be the customer's point of contact through delivery.\n\n - Work with the deployment team on your engagement, whether that is Sarvam's Agent Engineers, certified partner teams, or both, and hold the delivery quality bar for the engagement.\n\n - Drive adoption on the ground. A system that works technically but is not used by the collections team, the branch staff or the citizen helpdesk has not landed. Getting it genuinely adopted is part of the job.\n\n - Own the documentation and operating charter for your deployment: how the system is run, monitored and scaled after go-live, so it holds up long after the launch.\n\n - Write the process and engagement playbooks that make the next deployment in that motion faster: how it gets scoped, planned, integrated and adopted.\n\n\nWHO YOU ARE\n\nWe are hiring across levels, from 4+ years of experience. What matters more than years is whether you have owned an outcome in front of a customer and delivered it.\n\n - You have delivered, not just managed. You have owned client-facing delivery where the outcome was yours, whether that is a workstream inside a large programme or the whole programme itself. Most likely from consulting, high-quality systems integration, or an enterprise delivery organisation. You have carried a date and a number, not just a project plan.\n\n - You are technical enough to be taken seriously. You do not need to write production code, but you should be able to argue with an engineer about an integration approach, understand why an evaluation is failing, and reason about latency, reliability and scale without hand-waving.\n\n - You understand agentic AI. How LLMs and agents behave in production, why prompts and evaluations matter, and what breaks at scale. Ideally you have delivered AI systems yourself.\n\n - You have worked inside hard environments. Large regulated enterprises, banks, insurers, or the public sector, where procurement is slow, integration is messy, and change management is most of the job.\n\n - You communicate precisely. Crisp writing, clear escalation, no ambiguity about status.\n\n\n\nSarvam is committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment regardless of background, identity, or personal characteristics. We believe the best AI for India can only be built by a team that reflects India.\n\n"},{"id":"36f89b00-2010-4d23-aae3-17a2f53d9eaa","title":"Agent Engineer","department":"Deployment Engineering","team":"Deployment Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-20T06:30:48.859+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/36f89b00-2010-4d23-aae3-17a2f53d9eaa","applyUrl":"https://jobs.ashbyhq.com/sarvam/36f89b00-2010-4d23-aae3-17a2f53d9eaa/application","descriptionHtml":"The distance between an AI system that works and one that millions of people rely on every day is where the real engineering lives. Crossing it is what Agent Engineers at Sarvam do.
The agents you build go into live operation at India's largest banks, insurers, NBFCs and government departments, and at some of the country's fastest-growing companies, handling millions of real interactions, measured against outcomes the customer wants to drive.
The hard part is not the first version. It is everything after: mapping the full space of what an agent has to handle so the scenarios that matter are covered by design rather than discovered in production, engineering for the failure modes instead of the happy path, and building the evals and instrumentation that make quality measurable, so drift surfaces in the data rather than in a customer escalation.
We treat agents as code. Not prompts someone tweaks in a console, but engineered artifacts: versioned, reviewed, and held to a regression suite, where you can reason about what a change will do and roll it back if you are wrong. Anyone who has watched an AI system quietly decay because nobody could tell which change broke it understands why this matters.
And then doing it again for the next customer, faster, because you built the first one to be repeatable.
Sarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.
Production, at real scale
Not prototypes, not demos. Systems in live operation at some of India's largest institutions, carrying real volume, measured against outcomes the customer has signed up to. You will see the consequences of your engineering decisions within days.
You work at the source
Sarvam builds the whole stack: the foundational models, the infrastructure they run on, and the products on top of them. When a deployment needs something that does not exist yet, whether that is model behaviour, an infrastructure capability or a product change, you are not filing a ticket with a vendor and waiting on a roadmap. You are in a room with the people who built it. Anyone who has delivered AI on top of someone else's black box knows how much difference that makes.
A genuinely broad surface
Sarvam's products span conversational AI, agentic workflows, intelligent document processing, and content, including dubbing and document translation. You will own a motion and go deep in it, and the depth you build travels well as products mature and new ones ship.
Build production agents on the Sarvam stack: prompts, system design, workflows, tool integrations, and evals.
Map the space the agent has to cover. Work out the scenarios that matter, how each should be handled, and where the edges are, so coverage is designed rather than discovered later.
Build the proof of concept when a customer wants to see it work before committing at scale, and get to a convincing result fast.
Integrate into systems that were never designed for this: core banking, CRM, ticketing, telephony, and whatever else the customer runs.
Own quality end to end. Define what good means for the use case, build the evals that measure it, and close the gap until the numbers hold.
Engineer agents like software. Version them, review them, and hold them to a regression suite, so quality does not depend on who last edited a prompt.
Tune for the constraints that decide whether a system survives production: accuracy, cost, reliability, and performance under real load.
Design for scale and consistency from the outset. Systems that behave the same on the hundred-thousandth interaction as the first, and that are instrumented well enough for anyone to see when they are not.
Take a proven pattern into a new customer and make it fit their environment, at pace and at quality.
At senior levels, own the technical build playbooks and the technical quality bar for a motion, and bring partner engineers up to it.
We are hiring across levels, from 3+ years of experience. What matters more than years is whether you have built something real users depended on and kept it working.
You have shipped to production and owned it afterwards. Not just built it. Kept it running, fixed it at 11pm, and let real usage change your assumptions.
You have worked with LLMs and agents seriously. Context engineering, tool use, structured outputs, memory, and the failure modes that only show up at scale. You have used agentic frameworks and both open and closed source models.
You bring engineering discipline to AI. You think in versions, tests, regressions and reproducibility. You are uncomfortable when a system's behaviour depends on a prompt nobody can account for.
You take evals seriously. You can define metrics that matter for a use case, build the pipeline, and tell the difference between a real signal and noise.
Strong Python and range across the stack. Backend services, data pipelines, APIs, cloud infrastructure. When you meet an unfamiliar stack you pick it up in hours.
You design for the long run. You build systems that hold their behaviour over months, not just on launch day: predictable under real load, instrumented so problems are visible, and structured so someone else can reason about them.
You can sit with a customer's engineering team. Understand their constraints, explain yours, and get to a workable answer without either side losing patience.
Sarvam is committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment regardless of background, identity, or personal characteristics. We believe the best AI for India can only be built by a team that reflects India.
","descriptionPlain":"The distance between an AI system that works and one that millions of people rely on every day is where the real engineering lives. Crossing it is what Agent Engineers at Sarvam do.\n\nThe agents you build go into live operation at India's largest banks, insurers, NBFCs and government departments, and at some of the country's fastest-growing companies, handling millions of real interactions, measured against outcomes the customer wants to drive.\n\nThe hard part is not the first version. It is everything after: mapping the full space of what an agent has to handle so the scenarios that matter are covered by design rather than discovered in production, engineering for the failure modes instead of the happy path, and building the evals and instrumentation that make quality measurable, so drift surfaces in the data rather than in a customer escalation.\n\nWe treat agents as code. Not prompts someone tweaks in a console, but engineered artifacts: versioned, reviewed, and held to a regression suite, where you can reason about what a change will do and roll it back if you are wrong. Anyone who has watched an AI system quietly decay because nobody could tell which change broke it understands why this matters.\n\nAnd then doing it again for the next customer, faster, because you built the first one to be repeatable.\n\n\nABOUT SARVAM\n\nSarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.\n\n\nWHAT THIS ROLE PROMISES YOU\n\nProduction, at real scale\n\nNot prototypes, not demos. Systems in live operation at some of India's largest institutions, carrying real volume, measured against outcomes the customer has signed up to. You will see the consequences of your engineering decisions within days.\n\nYou work at the source\n\nSarvam builds the whole stack: the foundational models, the infrastructure they run on, and the products on top of them. When a deployment needs something that does not exist yet, whether that is model behaviour, an infrastructure capability or a product change, you are not filing a ticket with a vendor and waiting on a roadmap. You are in a room with the people who built it. Anyone who has delivered AI on top of someone else's black box knows how much difference that makes.\n\nA genuinely broad surface\n\nSarvam's products span conversational AI, agentic workflows, intelligent document processing, and content, including dubbing and document translation. You will own a motion and go deep in it, and the depth you build travels well as products mature and new ones ship.\n\n\nWHAT YOU'LL DO\n\n - Build production agents on the Sarvam stack: prompts, system design, workflows, tool integrations, and evals.\n\n - Map the space the agent has to cover. Work out the scenarios that matter, how each should be handled, and where the edges are, so coverage is designed rather than discovered later.\n\n - Build the proof of concept when a customer wants to see it work before committing at scale, and get to a convincing result fast.\n\n - Integrate into systems that were never designed for this: core banking, CRM, ticketing, telephony, and whatever else the customer runs.\n\n - Own quality end to end. Define what good means for the use case, build the evals that measure it, and close the gap until the numbers hold.\n\n - Engineer agents like software. Version them, review them, and hold them to a regression suite, so quality does not depend on who last edited a prompt.\n\n - Tune for the constraints that decide whether a system survives production: accuracy, cost, reliability, and performance under real load.\n\n - Design for scale and consistency from the outset. Systems that behave the same on the hundred-thousandth interaction as the first, and that are instrumented well enough for anyone to see when they are not.\n\n - Take a proven pattern into a new customer and make it fit their environment, at pace and at quality.\n\n - At senior levels, own the technical build playbooks and the technical quality bar for a motion, and bring partner engineers up to it.\n\n\nWHO YOU ARE\n\nWe are hiring across levels, from 3+ years of experience. What matters more than years is whether you have built something real users depended on and kept it working.\n\n - You have shipped to production and owned it afterwards. Not just built it. Kept it running, fixed it at 11pm, and let real usage change your assumptions.\n\n - You have worked with LLMs and agents seriously. Context engineering, tool use, structured outputs, memory, and the failure modes that only show up at scale. You have used agentic frameworks and both open and closed source models.\n\n - You bring engineering discipline to AI. You think in versions, tests, regressions and reproducibility. You are uncomfortable when a system's behaviour depends on a prompt nobody can account for.\n\n - You take evals seriously. You can define metrics that matter for a use case, build the pipeline, and tell the difference between a real signal and noise.\n\n - Strong Python and range across the stack. Backend services, data pipelines, APIs, cloud infrastructure. When you meet an unfamiliar stack you pick it up in hours.\n\n - You design for the long run. You build systems that hold their behaviour over months, not just on launch day: predictable under real load, instrumented so problems are visible, and structured so someone else can reason about them.\n\n - You can sit with a customer's engineering team. Understand their constraints, explain yours, and get to a workable answer without either side losing patience.\n\n\n\nSarvam is committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment regardless of background, identity, or personal characteristics. We believe the best AI for India can only be built by a team that reflects India.\n\n"},{"id":"fcd803a8-6ffb-48fa-99f9-d7f43e6572ee","title":"Technical Partner Enablement Manager","department":"Deployment Engineering","team":"Deployment Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-17T10:13:36.719+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/fcd803a8-6ffb-48fa-99f9-d7f43e6572ee","applyUrl":"https://jobs.ashbyhq.com/sarvam/fcd803a8-6ffb-48fa-99f9-d7f43e6572ee/application","descriptionHtml":"Sarvam Circle, our partner ecosystem, is one of our fastest growing vectors. It brings in firms to take frontier AI to government and public institutions, enterprises, and MSMEs across the country. Certified partner engineers building on our stack extend that reach at a breadth and pace that compounds. Every firm that gets good at building on Sarvam widens what all of our work reaches.
There is a version of partner-built AI that actually works. Where a partner's engineers hold the same bar our own engineers do, where the playbooks are good enough to travel, and where a customer gets the same system whoever is in the room. That bar exists because Sarvam's engineers set it. Carrying it outward intact is what this role does, and it is the part most companies never solve.
This is a hands-on technical role, not a pre-sales one. You own the engineering core of Sarvam Circle: how partner engineers get certified on our stack, what standard their work is held to, whether they can run an engagement without a Sarvam engineer beside them, and whether what they ship holds up.
Done well, a large share of everything Sarvam delivers runs through the capability you built.
Sarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.
You shape the engine, not just run it
Sarvam Circle already has the firms and the momentum. Training and enablement is central to how Sarvam works with its partners, and how that actually operates is being designed now: the certification, the quality bar, the onboarding, the scorecards, the standard a partner engineer is held to. You are early enough to own its shape, at a company growing this fast.
Leverage over headcount
Your output is not what you deliver, it is what several hundred engineers across multiple firms are capable of delivering. The ceiling on your impact is set by how well you build the system.
You work at the source
Sarvam builds the whole stack: the foundational models, the infrastructure they run on, and the products on top. When a partner hits something the platform does not do yet, you are in a room with the people who built it.
Own the technical relationship with a set of partner firms: what their engineers can build, how much certified capacity they hold, and the quality of what they ship.
Build the certification programme. Define what a partner engineer must demonstrate before they touch a Sarvam deployment, and run the process that gets them there.
Own partner enablement: the playbooks, tooling, training and access partner teams need to build on the Sarvam stack without a Sarvam engineer beside them. Our engineers author the technical build playbooks; you own whether they exist, are current, and are legible enough for someone outside Sarvam to execute.
Translate Sarvam's platform, models and product surface into something a partner's engineering team can build with. Most of the leverage in this role is in how well you do this.
Shape how a partner gets used on an engagement: which firm fits the work, where in the engagement they come in, and how the build splits between their engineers and ours.
Lead the first co-delivered engagement with a new partner, hands-on, and own the readiness call on whether they can run the next one independently.
Own the review cadence with partners. It is what keeps us close to the work: where each engagement stands against plan, where the risk sits, and what has to change before a date slips.
Hold the quality bar across the partner base: scorecards, an honest read on whether partner-built work matches our own standard, and corrective plans when it does not.
We are hiring across levels, from 6+ years of experience, up to Lead.
You have worked with systems integrators or consulting firms, from the inside or across the table. You know how their engineering organisations actually work, how their engineers are staffed and incentivised, and where quality tends to slip.
You are technical, and partners respect that. You do not need to ship production code, but you should be able to review an implementation, spot where it will break, and hold a design conversation with a partner's engineering lead as a peer.
You have built capability at scale. Enablement programmes, certification, training, or technical onboarding. Something that made other people better at building, that outlasted your involvement.
You understand agentic AI and can teach it. LLMs and agents in production, why evals matter, and what breaks at scale. You can take an engineer who has never built an agent and get them to competence.
You hold a line under pressure. When a programme is behind and the easy answer is to let a standard slide, you are the person who does not.
You are comfortable building from zero. No template, no precedent. You would rather design it than wait for it.
Sarvam is committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment regardless of background, identity, or personal characteristics. We believe the best AI for India can only be built by a team that reflects India.
","descriptionPlain":"Sarvam Circle, our partner ecosystem, is one of our fastest growing vectors. It brings in firms to take frontier AI to government and public institutions, enterprises, and MSMEs across the country. Certified partner engineers building on our stack extend that reach at a breadth and pace that compounds. Every firm that gets good at building on Sarvam widens what all of our work reaches.\n\nThere is a version of partner-built AI that actually works. Where a partner's engineers hold the same bar our own engineers do, where the playbooks are good enough to travel, and where a customer gets the same system whoever is in the room. That bar exists because Sarvam's engineers set it. Carrying it outward intact is what this role does, and it is the part most companies never solve.\n\nThis is a hands-on technical role, not a pre-sales one. You own the engineering core of Sarvam Circle: how partner engineers get certified on our stack, what standard their work is held to, whether they can run an engagement without a Sarvam engineer beside them, and whether what they ship holds up.\n\nDone well, a large share of everything Sarvam delivers runs through the capability you built.\n\n\nABOUT SARVAM\n\nSarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.\n\n\nWHAT THIS ROLE PROMISES YOU\n\nYou shape the engine, not just run it\n\nSarvam Circle already has the firms and the momentum. Training and enablement is central to how Sarvam works with its partners, and how that actually operates is being designed now: the certification, the quality bar, the onboarding, the scorecards, the standard a partner engineer is held to. You are early enough to own its shape, at a company growing this fast.\n\nLeverage over headcount\n\nYour output is not what you deliver, it is what several hundred engineers across multiple firms are capable of delivering. The ceiling on your impact is set by how well you build the system.\n\nYou work at the source\n\nSarvam builds the whole stack: the foundational models, the infrastructure they run on, and the products on top. When a partner hits something the platform does not do yet, you are in a room with the people who built it.\n\n\nWHAT YOU'LL DO\n\n - Own the technical relationship with a set of partner firms: what their engineers can build, how much certified capacity they hold, and the quality of what they ship.\n\n - Build the certification programme. Define what a partner engineer must demonstrate before they touch a Sarvam deployment, and run the process that gets them there.\n\n - Own partner enablement: the playbooks, tooling, training and access partner teams need to build on the Sarvam stack without a Sarvam engineer beside them. Our engineers author the technical build playbooks; you own whether they exist, are current, and are legible enough for someone outside Sarvam to execute.\n\n - Translate Sarvam's platform, models and product surface into something a partner's engineering team can build with. Most of the leverage in this role is in how well you do this.\n\n - Shape how a partner gets used on an engagement: which firm fits the work, where in the engagement they come in, and how the build splits between their engineers and ours.\n\n - Lead the first co-delivered engagement with a new partner, hands-on, and own the readiness call on whether they can run the next one independently.\n\n - Own the review cadence with partners. It is what keeps us close to the work: where each engagement stands against plan, where the risk sits, and what has to change before a date slips.\n\n - Hold the quality bar across the partner base: scorecards, an honest read on whether partner-built work matches our own standard, and corrective plans when it does not.\n\n\nWHO YOU ARE\n\nWe are hiring across levels, from 6+ years of experience, up to Lead.\n\n - You have worked with systems integrators or consulting firms, from the inside or across the table. You know how their engineering organisations actually work, how their engineers are staffed and incentivised, and where quality tends to slip.\n\n - You are technical, and partners respect that. You do not need to ship production code, but you should be able to review an implementation, spot where it will break, and hold a design conversation with a partner's engineering lead as a peer.\n\n - You have built capability at scale. Enablement programmes, certification, training, or technical onboarding. Something that made other people better at building, that outlasted your involvement.\n\n - You understand agentic AI and can teach it. LLMs and agents in production, why evals matter, and what breaks at scale. You can take an engineer who has never built an agent and get them to competence.\n\n - You hold a line under pressure. When a programme is behind and the easy answer is to let a standard slide, you are the person who does not.\n\n - You are comfortable building from zero. No template, no precedent. You would rather design it than wait for it.\n\nSarvam is committed to building a diverse and inclusive team. All qualified applicants will receive consideration for employment regardless of background, identity, or personal characteristics. We believe the best AI for India can only be built by a team that reflects India."},{"id":"17d13aaa-2faf-40de-82e5-da894ead0856","title":"Senior Manager, Growth Marketing","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-19T08:56:02.833+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/17d13aaa-2faf-40de-82e5-da894ead0856","applyUrl":"https://jobs.ashbyhq.com/sarvam/17d13aaa-2faf-40de-82e5-da894ead0856/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
The Senior Manager, Growth Marketing owns how more of the right people discover Sarvam, try it, activate, and become long-term users.
This is an end-to-end growth role spanning acquisition, developer adoption, conversion, lifecycle, and experimentation. The mandate is to build growth engines that compound, across search, content, community, paid channels, product-led loops, and the product funnel itself.
The work is measured not by traffic or clicks, but by quality signups, successful API usage, retention, and revenue. This person works closely with Product, Developer Relations, Content, Sales, and Analytics to understand where growth is coming from, remove friction across the funnel, and continuously find new ways to scale adoption.
Own the growth funnel. Own the journey from discovery → signup → first successful API call → habitual usage → paid conversion → team expansion. Understand where users drop, instrument the funnel, and systematically improve it.
Drive acquisition. Grow high-quality acquisition across search, content, community, paid search, paid social, and new distribution channels. Build a balanced mix of channels that can scale efficiently over time.
Grow developer adoption. Increase API usage and open-weight model adoption. Work closely with Product and DevRel on documentation, technical content, developer journeys, and product-led growth loops.
Own search and discoverability. Build Sarvam's presence across traditional search, technical SEO, documentation SEO, and increasingly, AI-powered search and LLM answers.
Improve activation and onboarding. Reduce the time between signup and first value. Design onboarding, lifecycle communication, product nudges, and experiments that help developers get to a successful first use case quickly.
Drive conversion. Continuously improve landing pages, signup flows, pricing journeys, paywalls, and other conversion points that turn interest into usage and usage into revenue.
Build retention and expansion loops. Identify the behaviours that predict long-term usage, churn, and account growth. Build lifecycle, re-engagement, retargeting, and product interventions around them.
Run experimentation. Maintain a continuous backlog of growth experiments across acquisition, activation, conversion, and retention. Ship quickly, measure rigorously, and scale what works.
Own growth economics. Understand acquisition efficiency across channels and cohorts. Own CAC, payback, LTV, attribution, and budget allocation, with a clear view of where the next incremental unit of growth should come from.
Analytics and instrumentation. Define the metrics the growth team runs on, ensure the right events and funnels are instrumented, and build dashboards that make performance visible and actionable.
Build AI-native workflows. Use AI across research, content, creative, SEO, targeting, experimentation, and analysis to compress cycles and operate a highly leveraged growth motion.
7–10 years of experience in growth marketing, with hands-on ownership of a PLG or self-serve funnel
Track record of growing acquisition, activation, conversion, and revenue with quantified outcomes
Strong hands-on understanding of both search/discoverability and paid acquisition
Experience building content, community, SEO, or product-led growth loops that drove meaningful adoption
Strong experimentation discipline; able to design, run, analyse, and act on experiments rigorously
Comfort with analytics and instrumentation; able to define metrics, pull data, diagnose funnels, and understand CAC, payback, and LTV
Experience marketing to developers or technical buyers
Comfortable operating across both product and marketing surfaces rather than treating growth as a channel function
Fluent in modern AI tools across research, creative, content, analytics, and growth workflows
Experience growing an API, SDK, developer product, or open-weight/open-source model
Deep familiarity with SEO, AI-powered search, and LLM discoverability
Experience with lifecycle, retention, and conversion-rate optimisation
Experience building a growth motion from scratch at a founder-led or early-stage company
Familiarity with a self-serve developer motion and an enterprise sales motion running side by side
Experience managing or mentoring growth, lifecycle, SEO, content, performance, or analytics contributors
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\n\nABOUT THE ROLE\n\nThe Senior Manager, Growth Marketing owns how more of the right people discover Sarvam, try it, activate, and become long-term users.\n\nThis is an end-to-end growth role spanning acquisition, developer adoption, conversion, lifecycle, and experimentation. The mandate is to build growth engines that compound, across search, content, community, paid channels, product-led loops, and the product funnel itself.\n\nThe work is measured not by traffic or clicks, but by quality signups, successful API usage, retention, and revenue. This person works closely with Product, Developer Relations, Content, Sales, and Analytics to understand where growth is coming from, remove friction across the funnel, and continuously find new ways to scale adoption.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Own the growth funnel. Own the journey from discovery → signup → first successful API call → habitual usage → paid conversion → team expansion. Understand where users drop, instrument the funnel, and systematically improve it.\n\n - Drive acquisition. Grow high-quality acquisition across search, content, community, paid search, paid social, and new distribution channels. Build a balanced mix of channels that can scale efficiently over time.\n\n - Grow developer adoption. Increase API usage and open-weight model adoption. Work closely with Product and DevRel on documentation, technical content, developer journeys, and product-led growth loops.\n\n - Own search and discoverability. Build Sarvam's presence across traditional search, technical SEO, documentation SEO, and increasingly, AI-powered search and LLM answers.\n\n - Improve activation and onboarding. Reduce the time between signup and first value. Design onboarding, lifecycle communication, product nudges, and experiments that help developers get to a successful first use case quickly.\n\n - Drive conversion. Continuously improve landing pages, signup flows, pricing journeys, paywalls, and other conversion points that turn interest into usage and usage into revenue.\n\n - Build retention and expansion loops. Identify the behaviours that predict long-term usage, churn, and account growth. Build lifecycle, re-engagement, retargeting, and product interventions around them.\n\n - Run experimentation. Maintain a continuous backlog of growth experiments across acquisition, activation, conversion, and retention. Ship quickly, measure rigorously, and scale what works.\n\n - Own growth economics. Understand acquisition efficiency across channels and cohorts. Own CAC, payback, LTV, attribution, and budget allocation, with a clear view of where the next incremental unit of growth should come from.\n\n - Analytics and instrumentation. Define the metrics the growth team runs on, ensure the right events and funnels are instrumented, and build dashboards that make performance visible and actionable.\n\n - Build AI-native workflows. Use AI across research, content, creative, SEO, targeting, experimentation, and analysis to compress cycles and operate a highly leveraged growth motion.\n\n\nREQUIREMENTS\n\n - 7–10 years of experience in growth marketing, with hands-on ownership of a PLG or self-serve funnel\n\n - Track record of growing acquisition, activation, conversion, and revenue with quantified outcomes\n\n - Strong hands-on understanding of both search/discoverability and paid acquisition\n\n - Experience building content, community, SEO, or product-led growth loops that drove meaningful adoption\n\n - Strong experimentation discipline; able to design, run, analyse, and act on experiments rigorously\n\n - Comfort with analytics and instrumentation; able to define metrics, pull data, diagnose funnels, and understand CAC, payback, and LTV\n\n - Experience marketing to developers or technical buyers\n\n - Comfortable operating across both product and marketing surfaces rather than treating growth as a channel function\n\n - Fluent in modern AI tools across research, creative, content, analytics, and growth workflows\n\n\nGOOD TO HAVE\n\n - Experience growing an API, SDK, developer product, or open-weight/open-source model\n\n - Deep familiarity with SEO, AI-powered search, and LLM discoverability\n\n - Experience with lifecycle, retention, and conversion-rate optimisation\n\n - Experience building a growth motion from scratch at a founder-led or early-stage company\n\n - Familiarity with a self-serve developer motion and an enterprise sales motion running side by side\n\n - Experience managing or mentoring growth, lifecycle, SEO, content, performance, or analytics contributors\n\n\n\n\nWHY SARVAM?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be.\n\n"},{"id":"2fd59d81-b766-4f54-85b3-d0eae08dbfc0","title":"GTM & Strategy, Model API","department":"Sales/GTM","team":"Sales/GTM","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-20T08:00:04.868+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/2fd59d81-b766-4f54-85b3-d0eae08dbfc0","applyUrl":"https://jobs.ashbyhq.com/sarvam/2fd59d81-b766-4f54-85b3-d0eae08dbfc0/application","descriptionHtml":"About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
This role sits at the intersection of customer success, technical problem-solving, and market intelligence. You’ll own API customer relationships end-to-end — running demos, debugging integrations, writing scripts to unblock customers, and relaying precise model feedback to Sarvam’s research teams. A strong fit for someone early in their career with genuine technical curiosity and excellent communication skills.
What You’ll Do
• Own customer relationships end-to-end: run demos, onboarding sessions, and integration walkthroughs; get customers from API key to working product fast; stay with them through production.
• Build and tinker: write scripts to unblock integrations, build small demo apps that show customers what’s possible, and create reference implementations others can reuse. Handle problems directly rather than escalating them.
• Be the voice of the customer inside Sarvam: relay model feedback (transcription errors, voice quality gaps, translation failures, LLM output issues) to research and engineering with enough specificity that they can reproduce and prioritise; then close the loop with the customer.
• Surface market insights: track what customers and prospects are building, map the competitive landscape, spot recurring patterns across accounts, and bring a point of view to GTM and Product — not just a data dump.
What We’re Looking For
• 3+ years in a customer-facing role: customer success, solutions, pre-sales, or developer advocacy at a tech company; strong internship experience counts (impact > years).
• Technically capable: you read API docs fluently, write basic Python or JS scripts, and debug integrations without hand-holding.
• Excellent communicator: confident on demos, clear in writing, equally effective with a business stakeholder and an engineer.
• Genuinely curious about AI: you want to understand how the models work, not just what they return, and you can characterise model errors with precision.
• Organised and proactive: multiple threads in the air, nothing dropped, no prompting needed.
Bonus Points
• Familiarity with speech, LLM, or document processing APIs: you know what good output looks like.
• Experience working with engineering or research teams: you can turn a customer complaint into a reproducible bug report.
• You’ve built something with an API — a project, a side build, anything.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar.
• High ownership and high impact, from day one.
• Everything we do is AI-first, from the way we build and ship to the way we think about problems.
• You can work on problems that could change how an entire country learns, works, and communicates.
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nThis role sits at the intersection of customer success, technical problem-solving, and market intelligence. You’ll own API customer relationships end-to-end — running demos, debugging integrations, writing scripts to unblock customers, and relaying precise model feedback to Sarvam’s research teams. A strong fit for someone early in their career with genuine technical curiosity and excellent communication skills.\n\n \n\nWhat You’ll Do\n\n• Own customer relationships end-to-end: run demos, onboarding sessions, and integration walkthroughs; get customers from API key to working product fast; stay with them through production.\n\n• Build and tinker: write scripts to unblock integrations, build small demo apps that show customers what’s possible, and create reference implementations others can reuse. Handle problems directly rather than escalating them.\n\n• Be the voice of the customer inside Sarvam: relay model feedback (transcription errors, voice quality gaps, translation failures, LLM output issues) to research and engineering with enough specificity that they can reproduce and prioritise; then close the loop with the customer.\n\n• Surface market insights: track what customers and prospects are building, map the competitive landscape, spot recurring patterns across accounts, and bring a point of view to GTM and Product — not just a data dump.\n\n \n\nWhat We’re Looking For\n\n• 3+ years in a customer-facing role: customer success, solutions, pre-sales, or developer advocacy at a tech company; strong internship experience counts (impact > years).\n\n• Technically capable: you read API docs fluently, write basic Python or JS scripts, and debug integrations without hand-holding.\n\n• Excellent communicator: confident on demos, clear in writing, equally effective with a business stakeholder and an engineer.\n\n• Genuinely curious about AI: you want to understand how the models work, not just what they return, and you can characterise model errors with precision.\n\n• Organised and proactive: multiple threads in the air, nothing dropped, no prompting needed.\n\n \n\nBonus Points\n\n• Familiarity with speech, LLM, or document processing APIs: you know what good output looks like.\n\n• Experience working with engineering or research teams: you can turn a customer complaint into a reproducible bug report.\n\n• You’ve built something with an API — a project, a side build, anything.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar.\n\n• High ownership and high impact, from day one.\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems.\n\n• You can work on problems that could change how an entire country learns, works, and communicates.\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"ef7f079b-6a1f-4b27-9cfb-a5f68fe825c7","title":"Marketing Intern","department":"Marketing","team":"Marketing","employmentType":"Intern","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-09-17T09:02:11.303+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/ef7f079b-6a1f-4b27-9cfb-a5f68fe825c7","applyUrl":"https://jobs.ashbyhq.com/sarvam/ef7f079b-6a1f-4b27-9cfb-a5f68fe825c7/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
We’re looking for a Marketing Intern to help execute high-priority initiatives across Sarvam’s marketing function. You will work on a varied mix of market research, campaigns, product marketing, events and content, collaborating closely with teams across Marketing, Product, GTM and Design.
This is a hands-on role for someone who can bring structure to open-ended problems, move quickly from idea to execution and maintain a high bar for quality. Your work will contribute directly to how Sarvam takes its products to market, engages enterprise and developer audiences, and shows up across digital and in-person channels.
Build campaigns across content, search, paid and community channels, from audience and messaging to execution and measurement.
Work with Product, GTM and Marketing on launches, product assets and new growth initiatives.
Plan and execute conferences, roundtables, meetups and other offline experiences across vendors, logistics, communication and on-ground delivery.
Help grow developer and enterprise communities through events, partnerships, webinars and ongoing engagement.
Improve Sarvam’s discoverability across SEO, content and AI-powered search.
Conduct market, customer and competitive research, turning findings into clear briefs and recommendations.
High agency and execution ability, with a track record of taking ownership and delivering high-quality work.
Strong organisation and follow-through; calm and detail-oriented under deadline pressure.
Clear writing and structured thinking, with the ability to communicate ideas simply.
Strong growth instincts across audience, message, channel, experimentation and measurement.
Fluency with modern AI tools, with the ability to build workflows and automations that improve research, content, analysis and execution.
Comfort with marketing tools such as CRM, email and basic analytics
Experience running a campus event, community, newsletter, side project or a small business.
Familiarity with growth channels such as email, SEO, paid acquisition, content, partnerships and community.
Familiarity with Canva, Figma, Notion, HubSpot, analytics tools or basic video editing.
If you have work samples that demonstrate strong writing, structured thinking or execution, include them with your application.
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders and business leaders who move fast and hold each other to a very high bar.
High ownership and high impact from day one.
Everything we do is AI-first, from the way we build and ship to the way we think about problems.
Work on problems that could change how an entire country learns, works and communicates.
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Marketing Intern to help execute high-priority initiatives across Sarvam’s marketing function. You will work on a varied mix of market research, campaigns, product marketing, events and content, collaborating closely with teams across Marketing, Product, GTM and Design.\n\nThis is a hands-on role for someone who can bring structure to open-ended problems, move quickly from idea to execution and maintain a high bar for quality. Your work will contribute directly to how Sarvam takes its products to market, engages enterprise and developer audiences, and shows up across digital and in-person channels.\n\n\n\n\nWHAT YOU’LL DO\n\n - Build campaigns across content, search, paid and community channels, from audience and messaging to execution and measurement.\n\n - Work with Product, GTM and Marketing on launches, product assets and new growth initiatives.\n\n - Plan and execute conferences, roundtables, meetups and other offline experiences across vendors, logistics, communication and on-ground delivery.\n\n - Help grow developer and enterprise communities through events, partnerships, webinars and ongoing engagement.\n\n - Improve Sarvam’s discoverability across SEO, content and AI-powered search.\n\n - Conduct market, customer and competitive research, turning findings into clear briefs and recommendations.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - High agency and execution ability, with a track record of taking ownership and delivering high-quality work.\n\n - Strong organisation and follow-through; calm and detail-oriented under deadline pressure.\n\n - Clear writing and structured thinking, with the ability to communicate ideas simply.\n\n - Strong growth instincts across audience, message, channel, experimentation and measurement.\n\n - Fluency with modern AI tools, with the ability to build workflows and automations that improve research, content, analysis and execution.\n\n - Comfort with marketing tools such as CRM, email and basic analytics\n\n\n\n\nGOOD TO HAVE\n\n - Experience running a campus event, community, newsletter, side project or a small business.\n\n - Familiarity with growth channels such as email, SEO, paid acquisition, content, partnerships and community.\n\n - Familiarity with Canva, Figma, Notion, HubSpot, analytics tools or basic video editing.\n\nIf you have work samples that demonstrate strong writing, structured thinking or execution, include them with your application.\n\n\n\n\nWHY SARVAM?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders and business leaders who move fast and hold each other to a very high bar.\n\n - High ownership and high impact from day one.\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems.\n\n - Work on problems that could change how an entire country learns, works and communicates.\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"6e8354d0-8e75-4e31-a361-21dfd91bfdfa","title":"GTM Strategy - Chanakya","department":"Sales/GTM","team":"Sales/GTM","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-09-08T08:48:19.074+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/6e8354d0-8e75-4e31-a361-21dfd91bfdfa","applyUrl":"https://jobs.ashbyhq.com/sarvam/6e8354d0-8e75-4e31-a361-21dfd91bfdfa/application","descriptionHtml":"About team:
Chanakya is Sarvam AI's specialised, self-contained vertical for national security and institutions of national importance. It carries its own pricing, business, product, engineering, custom-model and vendor functions under one roof — a complete unit built to solve the most complex problems in the strategic sector: the three armed forces, intelligence agencies, financial regulators, and institutions of national importance such as central ministries and national policy bodies.
What we deploy here must be at strategic parity or higher — anything less is a national-security risk. That standard is the reason Chanakya is a small, exceptionally high-performing team inside Sarvam, and the reason we are deliberate about who joins it.
Why this is one of the most consequential seats in Indian AI
01 — NATIONAL IMPACT
You sit where it all gets decided.
These systems are deployed inside the institutions that safeguard the country. The potential for national impact is not abstract — it is at the core of how the strategic sector reasons, decides, and acts. Few roles anywhere in Indian technology carry this weight.
02 — UNPARALLELED LEARNING
Full-stack, end to end — nowhere else does this exist.
Every deployment runs the entire stack: understanding a customer's real requirement, architecting and customising the stack for it, and where needed building and fine-tuning models, shaping training data, and inventing data representations for extraordinarily complex data, workflows and applications. You touch nearly the whole arc of the work. This experience sets you apart — whether you go on to found a company, or become a business or technology leader in the years ahead, at Sarvam or beyond.
03 — A PATH TO LEADERSHIP
These are leadership seats in the making.
Chanakya's functions are being built out now. We are looking for people who will grow into the leaders of these emerging functions — every one of these roles is a route to leading a part of the vertical, not just filling it.
Where we are. This is not a leap into the unknown. Chanakya has already achieved product–market fit to a meaningful degree, has significant revenue booked, and has large strategic projects officially underway. Things are structured and going well.
The opportunity. This is a genuine zero-to-one journey — but one taken within the reach, talent and standing of a company like Sarvam. You get the ambition and ownership of building something new, backed by the full weight of Sarvam's capability and presence. The golden opportunity: to help build out and lead the emerging functions of Chanakya, with a clear growth path ahead.
Where client-facing instinct meets technical depth — working directly with the founders.
You will bring your client-facing judgement and technical fluency together to shape and drive Chanakya's go-to-market, working closely with the leadership and the founders to get it built.
•Strong technical foundation plus sharp commercial and strategic instincts.
•Comfortable in the room with senior institutional stakeholders and with our own engineers.
•Entrepreneurial temperament — owns outcomes end to end.
The bar.
Across every one of these roles, we are looking for people who want to change the world and build something of national consequence — and who will grow into the leaders of Chanakya's verticals. If that is you, the ceiling here is set only by your ambition.
Base: Delhi NCR, with travel across India. All roles involve working inside restricted environments and travelling to client sites at short notice.
","descriptionPlain":"About team: \n\nChanakya is Sarvam AI's specialised, self-contained vertical for national security and institutions of national importance. It carries its own pricing, business, product, engineering, custom-model and vendor functions under one roof — a complete unit built to solve the most complex problems in the strategic sector: the three armed forces, intelligence agencies, financial regulators, and institutions of national importance such as central ministries and national policy bodies.\n\nWhat we deploy here must be at strategic parity or higher — anything less is a national-security risk. That standard is the reason Chanakya is a small, exceptionally high-performing team inside Sarvam, and the reason we are deliberate about who joins it.\n\nWhy this is one of the most consequential seats in Indian AI\n\n01 — NATIONAL IMPACT\n\nYou sit where it all gets decided.\n\nThese systems are deployed inside the institutions that safeguard the country. The potential for national impact is not abstract — it is at the core of how the strategic sector reasons, decides, and acts. Few roles anywhere in Indian technology carry this weight.\n\n02 — UNPARALLELED LEARNING\n\nFull-stack, end to end — nowhere else does this exist.\n\nEvery deployment runs the entire stack: understanding a customer's real requirement, architecting and customising the stack for it, and where needed building and fine-tuning models, shaping training data, and inventing data representations for extraordinarily complex data, workflows and applications. You touch nearly the whole arc of the work. This experience sets you apart — whether you go on to found a company, or become a business or technology leader in the years ahead, at Sarvam or beyond.\n\n03 — A PATH TO LEADERSHIP\n\nThese are leadership seats in the making.\n\nChanakya's functions are being built out now. We are looking for people who will grow into the leaders of these emerging functions — every one of these roles is a route to leading a part of the vertical, not just filling it.\n\nWhere we are. This is not a leap into the unknown. Chanakya has already achieved product–market fit to a meaningful degree, has significant revenue booked, and has large strategic projects officially underway. Things are structured and going well.\n\nThe opportunity. This is a genuine zero-to-one journey — but one taken within the reach, talent and standing of a company like Sarvam. You get the ambition and ownership of building something new, backed by the full weight of Sarvam's capability and presence. The golden opportunity: to help build out and lead the emerging functions of Chanakya, with a clear growth path ahead. \n\nWhere client-facing instinct meets technical depth — working directly with the founders.\n\nYou will bring your client-facing judgement and technical fluency together to shape and drive Chanakya's go-to-market, working closely with the leadership and the founders to get it built.\n\n•Strong technical foundation plus sharp commercial and strategic instincts.\n\n•Comfortable in the room with senior institutional stakeholders and with our own engineers.\n\n•Entrepreneurial temperament — owns outcomes end to end.\n\nThe bar. \n\nAcross every one of these roles, we are looking for people who want to change the world and build something of national consequence — and who will grow into the leaders of Chanakya's verticals. If that is you, the ceiling here is set only by your ambition.\n\nBase: Delhi NCR, with travel across India. All roles involve working inside restricted environments and travelling to client sites at short notice."},{"id":"c4099026-b194-4b16-8a12-c7ae1a9b51a0","title":"Product Manager - Chanakya","department":"Product","team":"Product","employmentType":"FullTime","location":"Delhi","secondaryLocations":[],"publishedAt":"2026-08-24T03:51:58.128+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Delhi","addressCountry":"India","addressLocality":"Delhi"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/c4099026-b194-4b16-8a12-c7ae1a9b51a0","applyUrl":"https://jobs.ashbyhq.com/sarvam/c4099026-b194-4b16-8a12-c7ae1a9b51a0/application","descriptionHtml":"About team:
Chanakya is Sarvam AI's specialised, self-contained vertical for national security and institutions of national importance. It carries its own pricing, business, product, engineering, custom-model and vendor functions under one roof — a complete unit built to solve the most complex problems in the strategic sector: the three armed forces, intelligence agencies, financial regulators, and institutions of national importance such as central ministries and national policy bodies.
What we deploy here must be at strategic parity or higher — anything less is a national-security risk. That standard is the reason Chanakya is a small, exceptionally high-performing team inside Sarvam, and the reason we are deliberate about who joins it.
Why this is one of the most consequential seats in Indian AI
01 — NATIONAL IMPACT
You sit where it all gets decided.
These systems are deployed inside the institutions that safeguard the country. The potential for national impact is not abstract — it is at the core of how the strategic sector reasons, decides, and acts. Few roles anywhere in Indian technology carry this weight.
02 — UNPARALLELED LEARNING
Full-stack, end to end — nowhere else does this exist.
Every deployment runs the entire stack: understanding a customer's real requirement, architecting and customising the stack for it, and where needed building and fine-tuning models, shaping training data, and inventing data representations for extraordinarily complex data, workflows and applications. You touch nearly the whole arc of the work. This experience sets you apart — whether you go on to found a company, or become a business or technology leader in the years ahead, at Sarvam or beyond.
03 — A PATH TO LEADERSHIP
These are leadership seats in the making.
Chanakya's functions are being built out now. We are looking for people who will grow into the leaders of these emerging functions — every one of these roles is a route to leading a part of the vertical, not just filling it.
Where we are. This is not a leap into the unknown. Chanakya has already achieved product–market fit to a meaningful degree, has significant revenue booked, and has large strategic projects officially underway. Things are structured and going well.
The opportunity. This is a genuine zero-to-one journey — but one taken within the reach, talent and standing of a company like Sarvam. You get the ambition and ownership of building something new, backed by the full weight of Sarvam's capability and presence. The golden opportunity: to help build out and lead the emerging functions of Chanakya, with a clear growth path ahead.
Product Manager (4–8 years)
Zero-to-one builders for a next-generation defence decision-support product.
We are building a next-generation decision-support product for defence users and need product leaders who have genuinely taken something from zero to one — conceived, built, and shipped a product to real users, not managed a roadmap on an established one.
• A hands-on, prototyping instinct — comfortable putting something rough in front of users quickly.
•Stayed in the line of building tech products; strong AI-first instinct — reasoning about what
models make newly possible.
•Comfortable with ambiguity, senior institutional users, air-gapped deployments, and frequent
travel to client sites. Much of the product definition will be theirs to make.
The bar. Across every one of these roles, we are looking for people who want to change the world and build something of national consequence — and who will grow into the leaders of Chanakya's verticals. If that is you, the ceiling here is set only by your ambition.
Base: Delhi NCR, with travel across India. All roles involve working inside restricted environments and travelling to client sites at short notice.
","descriptionPlain":"About team: \n\nChanakya is Sarvam AI's specialised, self-contained vertical for national security and institutions of national importance. It carries its own pricing, business, product, engineering, custom-model and vendor functions under one roof — a complete unit built to solve the most complex problems in the strategic sector: the three armed forces, intelligence agencies, financial regulators, and institutions of national importance such as central ministries and national policy bodies.\n\nWhat we deploy here must be at strategic parity or higher — anything less is a national-security risk. That standard is the reason Chanakya is a small, exceptionally high-performing team inside Sarvam, and the reason we are deliberate about who joins it.\n\nWhy this is one of the most consequential seats in Indian AI\n\n01 — NATIONAL IMPACT\n\nYou sit where it all gets decided.\n\nThese systems are deployed inside the institutions that safeguard the country. The potential for national impact is not abstract — it is at the core of how the strategic sector reasons, decides, and acts. Few roles anywhere in Indian technology carry this weight.\n\n02 — UNPARALLELED LEARNING\n\nFull-stack, end to end — nowhere else does this exist.\n\nEvery deployment runs the entire stack: understanding a customer's real requirement, architecting and customising the stack for it, and where needed building and fine-tuning models, shaping training data, and inventing data representations for extraordinarily complex data, workflows and applications. You touch nearly the whole arc of the work. This experience sets you apart — whether you go on to found a company, or become a business or technology leader in the years ahead, at Sarvam or beyond.\n\n03 — A PATH TO LEADERSHIP\n\nThese are leadership seats in the making.\n\nChanakya's functions are being built out now. We are looking for people who will grow into the leaders of these emerging functions — every one of these roles is a route to leading a part of the vertical, not just filling it.\n\nWhere we are. This is not a leap into the unknown. Chanakya has already achieved product–market fit to a meaningful degree, has significant revenue booked, and has large strategic projects officially underway. Things are structured and going well.\n\nThe opportunity. This is a genuine zero-to-one journey — but one taken within the reach, talent and standing of a company like Sarvam. You get the ambition and ownership of building something new, backed by the full weight of Sarvam's capability and presence. The golden opportunity: to help build out and lead the emerging functions of Chanakya, with a clear growth path ahead. \n\n \n\nProduct Manager (4–8 years)\n\nZero-to-one builders for a next-generation defence decision-support product.\n\nWe are building a next-generation decision-support product for defence users and need product leaders who have genuinely taken something from zero to one — conceived, built, and shipped a product to real users, not managed a roadmap on an established one.\n\n• A hands-on, prototyping instinct — comfortable putting something rough in front of users quickly.\n\n•Stayed in the line of building tech products; strong AI-first instinct — reasoning about what\n\nmodels make newly possible.\n\n•Comfortable with ambiguity, senior institutional users, air-gapped deployments, and frequent\n\ntravel to client sites. Much of the product definition will be theirs to make.\n\n \n\nThe bar. Across every one of these roles, we are looking for people who want to change the world and build something of national consequence — and who will grow into the leaders of Chanakya's verticals. If that is you, the ceiling here is set only by your ambition.\n\nBase: Delhi NCR, with travel across India. All roles involve working inside restricted environments and travelling to client sites at short notice."},{"id":"bd5d2769-7dc3-47c5-9afb-c011b6d22c19","title":"Product Marketing Manager, Model API","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-24T08:33:05.188+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/bd5d2769-7dc3-47c5-9afb-c011b6d22c19","applyUrl":"https://jobs.ashbyhq.com/sarvam/bd5d2769-7dc3-47c5-9afb-c011b6d22c19/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
We’re hiring a Product Marketing Manager to lead go-to-market strategy for our enterprise products. This role is central to how we communicate value to large enterprises adopting AI at scale. You’ll be responsible for crafting positioning that resonates with executive buyers, launching new features and offerings, and enabling our sales team with the tools they need to close complex deals. You’ll work closely with product and sales to bring Sarvam’s capabilities to life through demos, solution briefs, case studies, and tailored narratives for priority verticals such as financial services, public sector, and healthcare.
We’re looking for someone who understands how enterprise buyers evaluate technology. Someone who can translate capabilities into business outcomes, map our value to real workflows, and support long-cycle sales with credible, clear, and strategic messaging. This is both a builder and operator role, and your work will directly shape how Sarvam grows with India’s largest enterprises.
Positioning for Enterprise Segments
Own how we position Sarvam’s enterprise offerings across key verticals. Shape narratives that reflect real workflows, procurement behavior, and stakeholder priorities in each industry.
Sales Enablement
Equip sales teams with the tools they need to engage effectively. Create high-quality decks, one-pagers, solution briefs, competitive overviews, and account-specific messaging that help accelerate deals.
Customer Proof Points
Lead the development of case studies, ROI benchmarks, and customer stories that demonstrate business value and build credibility with prospects.
Demo and Asset Ownership
Partner with product and engineering to deliver demos that reflect real-world use cases. Ensure each demo and asset clearly communicates value, differentiation, and relevance to buyer needs.
Field and Market Insights
Stay close to customer conversations and sales cycles. Gather insights from the field and market landscape to refine positioning and address common objections.
4 to 6 years of experience in product marketing or solution marketing, ideally in enterprise SaaS, infrastructure, or AI
A proven track record of enabling enterprise sales teams with sharp messaging and high-quality content that moves deals forward
Familiarity with enterprise buying cycles, procurement patterns, and multi-stakeholder decision-making
Strong writing, storytelling, and communication skills grounded in real customer use cases and measurable impact
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
Sarvam’s brand is already an argument about motion — it just hasn’t been allowed to move yet.
The monogram is a gateway that emerges — layered circles resolving out of mandala geometry into a single threshold form. The palette isn’t a set of swatches; it’s a continuous run from blue to orange, built to suggest progression and responsive state. Both of those ideas are about change over time. Both are currently being made mostly in stills.
We want the person who resolves that. Not someone to animate a logo once for a launch, but someone who decides how this brand behaves — how it enters, how it responds, how a gradient moves without becoming wallpaper — and then builds that language across films, web and product.
It’s a rare brief: a real identity with real motion logic baked into it, and nobody has run at it yet.
Define the motion language, not just the motion. Timing, easing, entrances, transitions, how the monogram behaves and how the gradient travels — documented and reusable, so the next fifty assets don’t start from zero.
Make the films. Model launches, product announcements, research drops, event opens, brand pieces. Concept, board, animate, edit, sound, deliver — you’ll own the shot end to end.
Make the product move too. Web animation, scroll behaviour, UI micro-interactions, demo and walkthrough videos. This is the half of the role that keeps the other half honest: motion that ships inside a live surface has constraints a film doesn’t.
Hand off cleanly to engineering. Lottie, Rive, sprite sequences, or a spec an engineer can actually build from. Work that dies in After Effects doesn’t count.
Solve the hard one: visualising speech. Our products are conversational — voice agents across 11 Indian languages, code-switching mid-sentence. Showing listening, thinking, speaking and switching, without falling back on a generic waveform, is the most interesting motion problem in the building.
Use AI properly in the pipeline. Generative video, boards and previz, roto, upscaling, variation. You should already be doing this, with a clear sense of where it saves a week and where it costs you the shot.
Work across the whole company. Design, marketing, product, research, founders. Rough briefs, hard launch dates, and work that still holds up at the end of it.
3+ years in motion design, in-house or at a studio, with a reel that shows both narrative work and work that shipped inside a product or website.
Deep After Effects. Shape layers, expressions, proper rigging — not template-and-swap. Plus real editing chops in Premiere or Resolve.
Figma is non-negotiable. Motion here starts inside the design system, not beside it.
Illustrator and Photoshop at working depth — you’ll be building and cleaning your own assets.
Fundamentals over flourish. Timing, weight, staging, anticipation, and how type behaves in motion. We will notice your easing curves.
Native fluency with AI tools in a professional motion workflow, and a point of view about it.
System thinking. Evidence you’ve taken a static identity and extended it into motion — or taken a motion system somewhere its guidelines hadn’t gone.
A real stake in this. You should care specifically about what Indian design deserves to look like in motion — and be a little impatient that it mostly doesn’t look like that yet.
3D — Blender or Cinema 4D, especially for abstract systems, geometry and product visualisation
Real-time or code-based motion: Rive, three.js, GLSL, TouchDesigner, Houdini
Sound design and mix — or at least strong instincts about audio driving picture
Indic typography in motion: animating Devanagari, Tamil or Kannada without breaking the letterforms
Send a reel — 90 seconds is plenty — plus a breakdown of what you did on each piece. Three shots you own completely beat a beautifully cut reel of team work. If one of them had to survive a real constraint — an engineer, a file size, a deadline, a language you don’t read — lead with that.
careers@sarvam.ai · sarvam.ai
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\n\n\nABOUT THE ROLE\n\nSarvam’s brand is already an argument about motion — it just hasn’t been allowed to move yet.\n\nThe monogram is a gateway that emerges — layered circles resolving out of mandala geometry into a single threshold form. The palette isn’t a set of swatches; it’s a continuous run from blue to orange, built to suggest progression and responsive state. Both of those ideas are about change over time. Both are currently being made mostly in stills.\n\nWe want the person who resolves that. Not someone to animate a logo once for a launch, but someone who decides how this brand behaves — how it enters, how it responds, how a gradient moves without becoming wallpaper — and then builds that language across films, web and product.\n\nIt’s a rare brief: a real identity with real motion logic baked into it, and nobody has run at it yet.\n\n\n\n\nWHAT YOU’LL DO\n\n - Define the motion language, not just the motion. Timing, easing, entrances, transitions, how the monogram behaves and how the gradient travels — documented and reusable, so the next fifty assets don’t start from zero.\n\n - Make the films. Model launches, product announcements, research drops, event opens, brand pieces. Concept, board, animate, edit, sound, deliver — you’ll own the shot end to end.\n\n - Make the product move too. Web animation, scroll behaviour, UI micro-interactions, demo and walkthrough videos. This is the half of the role that keeps the other half honest: motion that ships inside a live surface has constraints a film doesn’t.\n\n - Hand off cleanly to engineering. Lottie, Rive, sprite sequences, or a spec an engineer can actually build from. Work that dies in After Effects doesn’t count.\n\n - Solve the hard one: visualising speech. Our products are conversational — voice agents across 11 Indian languages, code-switching mid-sentence. Showing listening, thinking, speaking and switching, without falling back on a generic waveform, is the most interesting motion problem in the building.\n\n - Use AI properly in the pipeline. Generative video, boards and previz, roto, upscaling, variation. You should already be doing this, with a clear sense of where it saves a week and where it costs you the shot.\n\n - Work across the whole company. Design, marketing, product, research, founders. Rough briefs, hard launch dates, and work that still holds up at the end of it.\n \n \n\n\nWHAT WE’RE LOOKING FOR\n\n - 3+ years in motion design, in-house or at a studio, with a reel that shows both narrative work and work that shipped inside a product or website.\n\n - Deep After Effects. Shape layers, expressions, proper rigging — not template-and-swap. Plus real editing chops in Premiere or Resolve.\n\n - Figma is non-negotiable. Motion here starts inside the design system, not beside it.\n\n - Illustrator and Photoshop at working depth — you’ll be building and cleaning your own assets.\n\n - Fundamentals over flourish. Timing, weight, staging, anticipation, and how type behaves in motion. We will notice your easing curves.\n\n - Native fluency with AI tools in a professional motion workflow, and a point of view about it.\n\n - System thinking. Evidence you’ve taken a static identity and extended it into motion — or taken a motion system somewhere its guidelines hadn’t gone.\n\n - A real stake in this. You should care specifically about what Indian design deserves to look like in motion — and be a little impatient that it mostly doesn’t look like that yet.\n\n\nBONUS POINTS\n\n - 3D — Blender or Cinema 4D, especially for abstract systems, geometry and product visualisation\n\n - Real-time or code-based motion: Rive, three.js, GLSL, TouchDesigner, Houdini\n\n - Sound design and mix — or at least strong instincts about audio driving picture\n\n - Indic typography in motion: animating Devanagari, Tamil or Kannada without breaking the letterforms\n\n \n\n\nHOW TO APPLY\n\nSend a reel — 90 seconds is plenty — plus a breakdown of what you did on each piece. Three shots you own completely beat a beautifully cut reel of team work. If one of them had to survive a real constraint — an engineer, a file size, a deadline, a language you don’t read — lead with that.\n\ncareers@sarvam.ai · sarvam.ai http://sarvam.ai\n\n\n\n\nWHY SARVAM\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"597119b9-ccb6-4b6e-be0e-39eb185093d0","title":"Visual Designer","department":"Marketing","team":"Marketing","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-25T10:27:35.312+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/597119b9-ccb6-4b6e-be0e-39eb185093d0","applyUrl":"https://jobs.ashbyhq.com/sarvam/597119b9-ccb6-4b6e-be0e-39eb185093d0/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
India built Aadhaar. India built UPI. India is now building its own frontier AI and at Sarvam, all of it is built, deployed and governed here. This presents a generational opportunity to craft a visual language that is as original and ambitious as the technology it represents.
Sarvam’s identity is built on this very conviction. Our monogram, a gateway drawn from mandala geometry and interlocking circles, serves as a living threshold between human and machine. With a palette that moves vibrantly from blue to orange, our brand system is designed to evolve and scale alongside our innovations. It is a powerful foundation, ready for what comes next.
What it needs now is someone to make it live across launch banners, web sections, product surfaces, films, decks, event walls, and a hundred places we haven’t invented yet. This is not a role about decorating an AI company. It’s about building the visual argument for what Indian design looks like at population scale.
Translate the system into everything it touches. Web sections, launch banners, social, product marketing, event and print collateral, so that someone who encounters one Sarvam surface immediately recognises the next.
Design to context, not to template. A model-launch banner, a developer docs header and an enterprise one-pager are three different arguments. You read the comms briefly and build the visual that actually carries it.
Push the brand into new threads. The master system is the root, not the ceiling. We want spin-off expressions from root that stay unmistakably Sarvam while earning their own character. You’ll experiment, propose, and defend.
Use AI as a first-class part of your craft. Generation, iteration, variation, retouch, cleanup. Not as a novelty you tried once, but as something already in your daily hands with the taste to know where it lifts the work and where it flattens it. Create Automated systems
Put things into motion. Not every asset is still. Short loops, animated logo behaviour, launch films, motion for the web enough to get it out the door yourself.
3+ years designing communication assets — in-house or at a studio — with a portfolio that shows range across real surfaces, not ten polished shots of the same thing.
Serious fundamentals. Type, hierarchy, grid, space, colour. We will look closely at how you set type and how you use space. Trend fluency without foundation doesn’t survive here.
Figma is non-negotiable. Components, variables, auto-layout, libraries other people can build on.
Photoshop and Illustrator at working depth. After Effects enough to ship motion without waiting on anyone.
Native fluency with AI design tools and a clear point of view on where they belong in a professional workflow.
Proof you can extend a brand system, not only execute inside one. Show us where you took something further than the guidelines went.
A real stake in this. You should care specifically about what the Indian design ecosystem deserves to look like and be a little impatient that it doesn’t look like that yet.
3D, rendering, or generative / code-based design Blender, TouchDesigner, p5, shaders
Indic typography: setting Devanagari, Tamil, Bengali or Kannada properly, not as an afterthought
Editorial or publication design
You’ve shipped a brand extension end to end and lived with the consequences
Send us your portfolio. We’ll be looking at three things: how you think, how you set type, and one project where you took a system somewhere it hadn’t gone before. tell us what the constraint was and what you did with it.
careers@sarvam.ai · sarvam.ai
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\n\nABOUT THE ROLE\n\nIndia built Aadhaar. India built UPI. India is now building its own frontier AI and at Sarvam, all of it is built, deployed and governed here. This presents a generational opportunity to craft a visual language that is as original and ambitious as the technology it represents.\n\nSarvam’s identity is built on this very conviction. Our monogram, a gateway drawn from mandala geometry and interlocking circles, serves as a living threshold between human and machine. With a palette that moves vibrantly from blue to orange, our brand system is designed to evolve and scale alongside our innovations. It is a powerful foundation, ready for what comes next.\n\nWhat it needs now is someone to make it live across launch banners, web sections, product surfaces, films, decks, event walls, and a hundred places we haven’t invented yet. This is not a role about decorating an AI company. It’s about building the visual argument for what Indian design looks like at population scale.\n\n\n\n\nWHAT YOU’LL DO\n\n - Translate the system into everything it touches. Web sections, launch banners, social, product marketing, event and print collateral, so that someone who encounters one Sarvam surface immediately recognises the next.\n\n - Design to context, not to template. A model-launch banner, a developer docs header and an enterprise one-pager are three different arguments. You read the comms briefly and build the visual that actually carries it.\n\n - Push the brand into new threads. The master system is the root, not the ceiling. We want spin-off expressions from root that stay unmistakably Sarvam while earning their own character. You’ll experiment, propose, and defend.\n\n - Use AI as a first-class part of your craft. Generation, iteration, variation, retouch, cleanup. Not as a novelty you tried once, but as something already in your daily hands with the taste to know where it lifts the work and where it flattens it. Create Automated systems\n\n - Put things into motion. Not every asset is still. Short loops, animated logo behaviour, launch films, motion for the web enough to get it out the door yourself.\n \n \n\n\nWHAT WE’RE LOOKING FOR\n\n - 3+ years designing communication assets — in-house or at a studio — with a portfolio that shows range across real surfaces, not ten polished shots of the same thing.\n\n - Serious fundamentals. Type, hierarchy, grid, space, colour. We will look closely at how you set type and how you use space. Trend fluency without foundation doesn’t survive here.\n\n - Figma is non-negotiable. Components, variables, auto-layout, libraries other people can build on.\n\n - Photoshop and Illustrator at working depth. After Effects enough to ship motion without waiting on anyone.\n\n - Native fluency with AI design tools and a clear point of view on where they belong in a professional workflow.\n\n - Proof you can extend a brand system, not only execute inside one. Show us where you took something further than the guidelines went.\n\n - A real stake in this. You should care specifically about what the Indian design ecosystem deserves to look like and be a little impatient that it doesn’t look like that yet.\n \n \n\n\nBONUS POINTS\n\n - 3D, rendering, or generative / code-based design Blender, TouchDesigner, p5, shaders\n\n - Indic typography: setting Devanagari, Tamil, Bengali or Kannada properly, not as an afterthought\n\n - Editorial or publication design\n\n - You’ve shipped a brand extension end to end and lived with the consequences\n \n \n\n\nHOW TO APPLY\n\nSend us your portfolio. We’ll be looking at three things: how you think, how you set type, and one project where you took a system somewhere it hadn’t gone before. tell us what the constraint was and what you did with it.\n\ncareers@sarvam.ai · sarvam.ai http://sarvam.ai\n\n\n\n\nWHY SARVAM?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"45986600-4da3-4e46-a204-2865392df169","title":"Product Manager, Model APIs","department":"Models","team":"Models","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-08-25T10:39:32.755+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/45986600-4da3-4e46-a204-2865392df169","applyUrl":"https://jobs.ashbyhq.com/sarvam/45986600-4da3-4e46-a204-2865392df169/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
We are hiring a Product Manager for Model APIs. This is the person who owns how developers and enterprises consume Sarvam's models, and who carries what they learn back into what we train next.
You will sit at the seam between research and the market. On one side, you own the API surface: what we ship, how it is shaped, how it is priced and packaged, and whether it holds up in production. On the other, you help set model direction: which capabilities to prioritize, which languages and domains to invest in, what “good enough to ship” means, and where the next release should aim. This is a role for someone who wants to influence the model roadmap itself, not just wrap it in an interface.
Own the product surface for Sarvam's model APIs across speech, language, and multimodal, from spec and versioning to documentation, developer experience, and deprecation.
Shape model roadmaps alongside research leads, bringing evidence from usage, evals, and customer signal into decisions about what gets trained, fine-tuned, and released.
Define what quality means for each model line and hold the bar: accuracy, latency, cost per call, robustness, and the failure modes that matter to real deployments.
Own evaluation as a product, including benchmark suites, offline and online tests, human evals, and the reporting that makes model progress legible to everyone from researchers to customers.
Turn customer and developer feedback into concrete model and API requirements, and close the loop by telling them what changed and why.
Partner with infra and platform teams on rollout, capacity, monitoring, and reliability for models in production.
Drive release planning end to end: positioning, launch, migration paths for existing users, and the trade-off calls that come with each.
Communicate priorities and trade-offs clearly across research, engineering, GTM, and leadership.
3+ years building AI/ML products, developer platforms, or APIs, ideally where the underlying model was part of the product decision rather than a fixed input.
Working fluency with the model lifecycle: data, training, fine-tuning, evaluation, deployment, and monitoring. You do not need to train models, but you should be able to hold your own in a conversation with the people who do.
Strong analytical instincts and genuine comfort with data. You reach for the numbers before the narrative.
Sound judgment on trade-offs between quality, latency, and cost, and the confidence to make a call and defend it.
Ability to work closely with researchers and earn their trust.
Experience with speech (ASR, TTS) or LLM APIs, and the metrics that govern them: WER, CER, MOS, TTFT, tokens per second.
Track record shipping and maintaining a public or enterprise-facing API.
Hands-on with SQL, Python, or ML tooling, enough to run your own analysis.
Exposure to Indian language AI, multilingual systems, or evaluation for low-resource languages.
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n\nABOUT THE ROLE\n\nWe are hiring a Product Manager for Model APIs. This is the person who owns how developers and enterprises consume Sarvam's models, and who carries what they learn back into what we train next.\n\nYou will sit at the seam between research and the market. On one side, you own the API surface: what we ship, how it is shaped, how it is priced and packaged, and whether it holds up in production. On the other, you help set model direction: which capabilities to prioritize, which languages and domains to invest in, what “good enough to ship” means, and where the next release should aim. This is a role for someone who wants to influence the model roadmap itself, not just wrap it in an interface.\n\n\nWHAT YOU'LL DO\n\n - Own the product surface for Sarvam's model APIs across speech, language, and multimodal, from spec and versioning to documentation, developer experience, and deprecation.\n\n - Shape model roadmaps alongside research leads, bringing evidence from usage, evals, and customer signal into decisions about what gets trained, fine-tuned, and released.\n\n - Define what quality means for each model line and hold the bar: accuracy, latency, cost per call, robustness, and the failure modes that matter to real deployments.\n\n - Own evaluation as a product, including benchmark suites, offline and online tests, human evals, and the reporting that makes model progress legible to everyone from researchers to customers.\n\n - Turn customer and developer feedback into concrete model and API requirements, and close the loop by telling them what changed and why.\n\n - Partner with infra and platform teams on rollout, capacity, monitoring, and reliability for models in production.\n\n - Drive release planning end to end: positioning, launch, migration paths for existing users, and the trade-off calls that come with each.\n\n - Communicate priorities and trade-offs clearly across research, engineering, GTM, and leadership.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 3+ years building AI/ML products, developer platforms, or APIs, ideally where the underlying model was part of the product decision rather than a fixed input.\n\n - Working fluency with the model lifecycle: data, training, fine-tuning, evaluation, deployment, and monitoring. You do not need to train models, but you should be able to hold your own in a conversation with the people who do.\n\n - Strong analytical instincts and genuine comfort with data. You reach for the numbers before the narrative.\n\n - Sound judgment on trade-offs between quality, latency, and cost, and the confidence to make a call and defend it.\n\n - Ability to work closely with researchers and earn their trust.\n\n\nBONUS POINTS\n\n - Experience with speech (ASR, TTS) or LLM APIs, and the metrics that govern them: WER, CER, MOS, TTFT, tokens per second.\n\n - Track record shipping and maintaining a public or enterprise-facing API.\n\n - Hands-on with SQL, Python, or ML tooling, enough to run your own analysis.\n\n - Exposure to Indian language AI, multilingual systems, or evaluation for low-resource languages.\n\n\nWHY SARVAM?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n - Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n - High ownership and high impact, from day one\n\n - Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n - You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e","title":"Staff Software Engineer - Frontend","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-09-15T09:07:02.853+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e","applyUrl":"https://jobs.ashbyhq.com/sarvam/b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
We are looking for a Staff Software Engineer - Frontend to help us solve some of the hardest frontend problems as we build AI products at scale.
This is a hands-on technical leadership role. You will work on problems involving real-time systems, streaming, performance, reliability, complex user workflows, and large-scale frontend architecture. You will also help shape the way frontend engineering is done across the organization.
Own the frontend architecture for complex, high-scale applications.
Solve challenging problems around real-time interactions, streaming data, asynchronous workflows, and continuously changing UI state.
Build reliable experiences around AI-generated responses, long-running tasks, tool calls, and partial results.
Design systems that remain responsive and reliable when dealing with large amounts of data and long-running operations.
Work closely with backend, product, and design teams to solve problems end to end.
Identify architectural bottlenecks before they become scaling problems and drive the right long-term solutions.
Improve frontend performance across loading, rendering, network usage, memory, and bundle size.
Build reusable frontend infrastructure, components, and patterns that can be adopted across teams.
Improve observability and production debugging through metrics, logging, error tracking, traces, and monitoring.
Own complex production issues, identify root causes, and make sure the same problems don't keep coming back.
Establish better approaches to testing, releases, feature flags, CI/CD, and frontend reliability.
Lead architecture discussions and technical decisions across teams.
Mentor engineers and help raise the overall frontend engineering bar.
Take ambiguous problems from problem definition → design → implementation → production.
8+ years of software engineering experience, with strong hands-on frontend experience.
Deep experience with JavaScript, TypeScript, React, and Next.js.
Strong understanding of frontend architecture, browser fundamentals, networking, rendering, and the web platform.
Experience designing and scaling large production frontend applications.
Strong understanding of state management, APIs, caching, authentication, and asynchronous systems.
Experience building real-time or streaming experiences using technologies such as WebSockets, SSE, or streaming APIs.
Strong understanding of web performance and experience solving real production performance problems.
Experience with frontend observability and debugging production issues.
Experience building shared components, design systems, or frontend platforms.
Strong system-design skills and the ability to make practical architectural trade-offs.
Ability to influence technical decisions across teams without relying on formal authority.
Strong ownership and a bias toward solving problems at their root.
Understanding of video and audio fundamentals, including media processing, encoding/decoding, formats, streaming, synchronization, and handling media workflows at scale.
Experience building frontend experiences for video/audio processing or dubbing workflows is highly valuable.
Understanding of document digitization workflows, including document upload, processing states, previews, extraction results, editing/review experiences, and handling large or complex documents.
Experience building frontend applications that deal with large files, long-running processing jobs, progress tracking, retries, failures, and partial results.
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
Most marketing internships hand you a social calendar and a prayer. This one hands you a budget line, a dashboard, and a \"go figure it out.\" We're a small team moving fast, which means the ceiling on what you can own is basically however far you can reach. If you ship something great in week two, it goes live in week two.
What you'll actually do
Run experiments end to end - form a hypothesis, build the campaign or landing page or post, ship it, read the numbers, kill it or scale it. Repeat weekly.
Paid - get your hands dirty in Google and Meta ads: creative, targeting, CAC, the whole funnel. You won't just \"assist,\" you'll own tests.
Organic and content - write things people actually want to read, turn our product wins into stories, and distribute them where devs and builders hang out.
Analytics - live in the data. Attribution, cohorts, what's working and (more importantly) what's quietly wasting money. Own the \"why did that number move\" question.
Vibe-code your own tools - prototype a landing page, spin up a scrappy internal dashboard, automate the boring stuff. We don't care if it's held together with duct tape and an LLM, we care that it works.
You'll fit right in if you
Are a final-year student or recent grad (0-1 yr) who's a hungry generalist, not a specialist waiting to be told what to do.
Are genuinely AI-fluent - you use LLMs the way the rest of us use Google, and you've got opinions about which model does what best.
Can vibe-code your way to a working prototype. You don't need a CS degree, you need to be dangerous with an AI coding tool and unafraid of a terminal.
Write like a human, not a press release.
Have shipped something on your own - a project, a campaign, a newsletter, a side hustle, a chaotic-but-real growth hack. We want proof you make things, not just plans.
Bonus points (not dealbreakers)
You've run ads before.
You can make a chart and a joke with equal confidence.
You've built or automated something with an LLM that made a real person's life easier.
You lurk in the right dev/AI corners of the internet and know what's actually going viral vs. what's just LinkedIn noise.
How to apply
Skip the generic cover letter. Send us one of these instead:
A growth experiment you'd run for Sarvam in your first 30 days (one paragraph, be specific), or
Something you built or grew, with the numbers, or
A thing you vibe-coded that you're weirdly proud of.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.
• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
• High ownership and high impact, from day one
• Everything we do is AI-first, from the way we build and ship to the way we think about problems
• You can work on problems that could change how an entire country learns, works, and communicates
If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nMost marketing internships hand you a social calendar and a prayer. This one hands you a budget line, a dashboard, and a \"go figure it out.\" We're a small team moving fast, which means the ceiling on what you can own is basically however far you can reach. If you ship something great in week two, it goes live in week two.\n\nWhat you'll actually do\n\n - Run experiments end to end - form a hypothesis, build the campaign or landing page or post, ship it, read the numbers, kill it or scale it. Repeat weekly.\n\n - Paid - get your hands dirty in Google and Meta ads: creative, targeting, CAC, the whole funnel. You won't just \"assist,\" you'll own tests.\n\n - Organic and content - write things people actually want to read, turn our product wins into stories, and distribute them where devs and builders hang out.\n\n - Analytics - live in the data. Attribution, cohorts, what's working and (more importantly) what's quietly wasting money. Own the \"why did that number move\" question.\n\n - Vibe-code your own tools - prototype a landing page, spin up a scrappy internal dashboard, automate the boring stuff. We don't care if it's held together with duct tape and an LLM, we care that it works.\n\nYou'll fit right in if you\n\n - Are a final-year student or recent grad (0-1 yr) who's a hungry generalist, not a specialist waiting to be told what to do.\n\n - Are genuinely AI-fluent - you use LLMs the way the rest of us use Google, and you've got opinions about which model does what best.\n\n - Can vibe-code your way to a working prototype. You don't need a CS degree, you need to be dangerous with an AI coding tool and unafraid of a terminal.\n\n - Write like a human, not a press release.\n\n - Have shipped something on your own - a project, a campaign, a newsletter, a side hustle, a chaotic-but-real growth hack. We want proof you make things, not just plans.\n\nBonus points (not dealbreakers)\n\n - You've run ads before.\n\n - You can make a chart and a joke with equal confidence.\n\n - You've built or automated something with an LLM that made a real person's life easier.\n\n - You lurk in the right dev/AI corners of the internet and know what's actually going viral vs. what's just LinkedIn noise.\n\nHow to apply\n\nSkip the generic cover letter. Send us one of these instead:\n\n 1. A growth experiment you'd run for Sarvam in your first 30 days (one paragraph, be specific), or\n\n 2. Something you built or grew, with the numbers, or\n\n 3. A thing you vibe-coded that you're weirdly proud of.\n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be."},{"id":"d71ec2a3-3de6-4380-95f6-41cfc2bbdbf2","title":"Staff Engineer - Systems Engineering","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Bengaluru","secondaryLocations":[],"publishedAt":"2026-10-06T06:01:20.525+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Karnataka","addressCountry":"India","addressLocality":"Bengaluru"}},"jobUrl":"https://jobs.ashbyhq.com/sarvam/d71ec2a3-3de6-4380-95f6-41cfc2bbdbf2","applyUrl":"https://jobs.ashbyhq.com/sarvam/d71ec2a3-3de6-4380-95f6-41cfc2bbdbf2/application","descriptionHtml":"Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
Samvaad is a conversational AI platform for enterprises, startups, digital natives, and governments. We are hiring hands-on technical owners who can take ambiguous problems through to reliable production systems.
At the heart of Sarvam’s conversational AI platform sits the system that lets our customers build, configure, deploy, and operate voice agents and campaigns - at scale. The platform currently powers millions of voice calls a day that are deeply personalised and understands the users.
We’re looking for a Staff Engineer to own this system end-to-end. The data model. The APIs. The orchestration. The reliability. The performance. The standards we hold ourselves to. This is an IC role with the scope and authority of one - no people management, just the systems and the bar.
The end-to-end backend for agent, campaign, and user management - from data modeling through API design to deployment, in Python and FastAPI
Workflow orchestration with Temporal for complex, long-running, stateful operations
Performance and reliability for a multi-tenant SaaS platform operating at sub-second latency SLOs
Observability - logging, metrics, tracing - so the team can debug production confidently and quickly
Integration testing - the test infrastructure that lets us ship fast without breaking customer-facing systems
Close collaboration with the frontend team (Next.js) to deliver an experience worthy of the underlying platform
Setting the design-first and documentation-first engineering culture within your team - RFCs before code, decisions written down, no tribal knowledge
8-12 years building production backend systems, with deep expertise in Python and FastAPI (or Golang)
Orchestrate high-volume, personalized campaigns and long-running conversations with strong reliability.
A track record of full-stack ownership - you’ve designed systems end-to-end, made the trade-offs, and operated them in production
Hands-on experience with workflow orchestration at scale, ideally Temporal
Built and operated high-scale distributed systems - multi-tenant, low-latency, resilient under real load
Strong PostgreSQL and Redis fundamentals - schema design, query performance, caching strategy
The judgment to know when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline
Experience building products on top of LLMs or AI/ML systems
Background in telephony, VoIP, or SIP infrastructure
Time at an early- or growth-stage startup - comfort with ambiguity, speed, and ownership
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
Samvaad is a conversational AI platform for enterprises, startups, digital natives, and governments. We are hiring hands-on technical owners who can take ambiguous problems through to reliable production systems.
At the heart of Sarvam’s conversational AI platform sits the system that lets our customers build, configure, deploy, and operate voice agents and campaigns - at scale. The platform currently powers millions of voice calls a day that are deeply personalised and understands the users.
We’re looking for a Staff Engineer to own this system end-to-end. The data model. The APIs. The orchestration. The reliability. The performance. The standards we hold ourselves to. This is an IC role with the scope and authority of one - no people management, just the systems and the bar.
The end-to-end backend for agent, campaign, and user management - from data modeling through API design to deployment, in Python and FastAPI
Workflow orchestration with Temporal for complex, long-running, stateful operations
Performance and reliability for a multi-tenant SaaS platform operating at sub-second latency SLOs
Observability - logging, metrics, tracing - so the team can debug production confidently and quickly
Integration testing - the test infrastructure that lets us ship fast without breaking customer-facing systems
Close collaboration with the frontend team (Next.js) to deliver an experience worthy of the underlying platform
Setting the design-first and documentation-first engineering culture within your team - RFCs before code, decisions written down, no tribal knowledge
8-12 years building production backend systems, with deep expertise in Python and FastAPI (or Golang)
Must-have experience in building telephony infrastructure, primarily SIP / VoIP
A track record of full-stack ownership - you’ve designed systems end-to-end, made the trade-offs, and operated them in production
Hands-on experience with workflow orchestration at scale, ideally Temporal
Built and operated high-scale distributed systems - multi-tenant, low-latency, resilient under real load
Strong PostgreSQL and Redis fundamentals - schema design, query performance, caching strategy
The judgment to know when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline
Experience building products on top of LLMs or AI/ML systems
Time at an early- or growth-stage startup - comfort with ambiguity, speed, and ownership
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC and LIC.
About the role
Sarvam's model APIs (ASR, TTS, Vision, LLM, Translate) are how developers and enterprises ship products on our foundation models. The platform handles tens of millions of API calls every day, over HTTP and WebSockets, with metering, billing, prepaid wallets and rate-limiting all part of the same stack.
We are hiring a Software Engineer to own major parts of this platform end to end, working closely with the Staff Engineer who leads its architecture. You will take an area such as speech to text pipeline,or text to speech pipeline, and be accountable for its reliability, performance and end-to-end latencies. This role is for someone who is obsessed with latencies, optimizes services and network paths to shave off milliseconds, ships fast, reasons from first principles, and treats AI as the default way to get engineering work done.
What you will do
Own a platform area end to end
• Own one or more major parts of the platform, such as the WebSocket streaming layer, a speech recognition pipeline, or text to speech pipeline: build, operate and improve them.
• Turn loosely defined goals into RFCs, milestones and shipped results, and write down the decisions and trade-offs.
• Be accountable after launch: on-call, incident response, root-cause analysis and follow-through on fixes.
• Make the call when a decision is needed, and own the outcome.
• Obsessed with latencies, dissecting existing services to understand the system, and tuning the right knobs to optimize performance.
• Bring services across without regressions in customer-facing APIs, latency or reliability.
Build real-time and model-serving pipelines
• Build and operate streaming infrastructure: WebSocket connections, long-lived sessions queue-based batch processing, backpressure and low-latency model invocation.
• Engineer audio pipelines: TTS chunking around model context limits, sample-rate conversion and format encoding, and VAD-based silence detection for ASR.
• Hold your services to sub-100ms latency SLOs in a multi-tenant environment, and know where every millisecond goes.
Think in systems and from first principles
• Reasons from constraints: latency budgets per hop, throughput, cost per request, failure modes and tenant isolation.
• Use back-of-the-envelope estimates to decide what to build, what to optimize and what to leave alone.
• Prefer simple designs you can fully explain over clever ones you cannot.
• Build in observability from day one: logging, metrics and tracing that let anyone debug production quickly.
Raise the bar for the team
• Strengthen the integration testing harness so the team can ship fast without breaking customer-facing APIs.
• Partner with the Inference and MLOps teams on making model serving fast, reliable and operable.
• Mentor junior engineers through RFC reviews, code review and pairing.
• Practice design-first, documentation-first engineering: RFCs before code, no tribal knowledge.
What we are looking for
• 4–6 years of building and operating production backend systems.
• At least one service you owned end to end under real load, including what broke and what you changed.
• Strong distributed-systems fundamentals: concurrency, networking, queues, caching, consistency and failure modes.
• Experience with low-latency or high-throughput services, and comfort reasoning about p95 and p99 latency.
• Solid fundamentals with a relational database and a cache, such as PostgreSQL and Redis: schema design, query performance and caching strategy.
• Fluency in at least one backend language and willingness to work in both Python and Golang.
• Experience running services with containers, CI/CD and production monitoring.
• Daily, hands-on use of AI tools in your engineering workflow, with concrete examples of what you automated or sped up.
• A bias for action: fast on reversible decisions, careful on irreversible ones.
• Clear writing, especially RFCs and design docs that others can act on.
Good to have (not required)
• Voice AI or real-time audio experience: WebSockets, WebRTC, streaming ASR or TTS, or audio processing with FFmpeg or pyav, codecs, sample rates and VAD.
• Production experience in Go, or in Python with FastAPI.
• Experience serving LLM, ASR, TTS or vision models in production.
• Experience building metering, billing, wallet or payments infrastructure.
• Running services on Kubernetes in production.
• Time at an early- or growth-stage startup.
Why Sarvam
• A fast-moving, high talent-density team building full-stack AI for India, with real population-scale impact.
• Researchers, engineers, builders and business leaders who move fast and hold each other to a very high bar.
• High ownership and high impact from day one.
• AI-first in everything, from how we build and ship to how we think about problems
","descriptionPlain":"About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC and LIC.\n\n\nAbout the role\n\nSarvam's model APIs (ASR, TTS, Vision, LLM, Translate) are how developers and enterprises ship products on our foundation models. The platform handles tens of millions of API calls every day, over HTTP and WebSockets, with metering, billing, prepaid wallets and rate-limiting all part of the same stack.\n\nWe are hiring a Software Engineer to own major parts of this platform end to end, working closely with the Staff Engineer who leads its architecture. You will take an area such as speech to text pipeline,or text to speech pipeline, and be accountable for its reliability, performance and end-to-end latencies. This role is for someone who is obsessed with latencies, optimizes services and network paths to shave off milliseconds, ships fast, reasons from first principles, and treats AI as the default way to get engineering work done.\n\n\nWhat you will do\n\n\nOwn a platform area end to end\n\n• Own one or more major parts of the platform, such as the WebSocket streaming layer, a speech recognition pipeline, or text to speech pipeline: build, operate and improve them.\n\n• Turn loosely defined goals into RFCs, milestones and shipped results, and write down the decisions and trade-offs.\n\n• Be accountable after launch: on-call, incident response, root-cause analysis and follow-through on fixes.\n\n• Make the call when a decision is needed, and own the outcome.\n\n• Obsessed with latencies, dissecting existing services to understand the system, and tuning the right knobs to optimize performance.\n\n• Bring services across without regressions in customer-facing APIs, latency or reliability.\n\n\nBuild real-time and model-serving pipelines\n\n• Build and operate streaming infrastructure: WebSocket connections, long-lived sessions queue-based batch processing, backpressure and low-latency model invocation.\n\n• Engineer audio pipelines: TTS chunking around model context limits, sample-rate conversion and format encoding, and VAD-based silence detection for ASR.\n\n• Hold your services to sub-100ms latency SLOs in a multi-tenant environment, and know where every millisecond goes.\n\n\nThink in systems and from first principles\n\n• Reasons from constraints: latency budgets per hop, throughput, cost per request, failure modes and tenant isolation.\n\n• Use back-of-the-envelope estimates to decide what to build, what to optimize and what to leave alone.\n\n• Prefer simple designs you can fully explain over clever ones you cannot.\n\n• Build in observability from day one: logging, metrics and tracing that let anyone debug production quickly.\n\n\nRaise the bar for the team\n\n• Strengthen the integration testing harness so the team can ship fast without breaking customer-facing APIs.\n\n• Partner with the Inference and MLOps teams on making model serving fast, reliable and operable.\n\n• Mentor junior engineers through RFC reviews, code review and pairing.\n\n• Practice design-first, documentation-first engineering: RFCs before code, no tribal knowledge.\n\n\nWhat we are looking for\n\n• 4–6 years of building and operating production backend systems.\n\n• At least one service you owned end to end under real load, including what broke and what you changed.\n\n• Strong distributed-systems fundamentals: concurrency, networking, queues, caching, consistency and failure modes.\n\n• Experience with low-latency or high-throughput services, and comfort reasoning about p95 and p99 latency.\n\n• Solid fundamentals with a relational database and a cache, such as PostgreSQL and Redis: schema design, query performance and caching strategy.\n\n• Fluency in at least one backend language and willingness to work in both Python and Golang.\n\n• Experience running services with containers, CI/CD and production monitoring.\n\n• Daily, hands-on use of AI tools in your engineering workflow, with concrete examples of what you automated or sped up.\n\n• A bias for action: fast on reversible decisions, careful on irreversible ones.\n\n• Clear writing, especially RFCs and design docs that others can act on.\n\n\nGood to have (not required)\n\n• Voice AI or real-time audio experience: WebSockets, WebRTC, streaming ASR or TTS, or audio processing with FFmpeg or pyav, codecs, sample rates and VAD.\n\n• Production experience in Go, or in Python with FastAPI.\n\n• Experience serving LLM, ASR, TTS or vision models in production.\n\n• Experience building metering, billing, wallet or payments infrastructure.\n\n• Running services on Kubernetes in production.\n\n• Time at an early- or growth-stage startup.\n\n\nWhy Sarvam\n\n• A fast-moving, high talent-density team building full-stack AI for India, with real population-scale impact.\n\n• Researchers, engineers, builders and business leaders who move fast and hold each other to a very high bar.\n\n• High ownership and high impact from day one.\n\n• AI-first in everything, from how we build and ship to how we think about problems"}],"apiVersion":"1"}