AI Engineer - Healthcare
Software Engineering, Data Science
Bengaluru, Karnataka, India
About Sarvam
Sarvam is building the bedrock of Sovereign AI for India: a full-stack platform spanning research, models, infrastructure, and applications, with a singular focus on making AI genuinely work for India. We are backed by Lightspeed, Peak XV, and Khosla Ventures, and we partner with India's leading institutions and enterprises, including Tata Capital, SBI Life, CRED, IDFC, and LIC.
About the Role
We are looking for an applied AI engineer to own the build and delivery of AI applications for healthcare, working across providers, payors, and the wider healthcare ecosystem. This is a forward-deployed, high-agility role: you work directly with clients to take a problem from the first conversation to a production system, building on Sarvam's models and infrastructure. You will move fast, ship often, and own outcomes in a domain where reliability genuinely matters.
What You'll Do
Build and ship applied AI applications for healthcare clients: document understanding, retrieval systems, agents, and workflow automation, built on Sarvam's models.
Build, deploy, and run agents in production, both on the cloud and locally, including on-premise environments where the client requires it.
Work directly with providers and payors to scope real problems and turn them into production systems that hold up in the field.
Integrate Sarvam's language, speech, and translation models into healthcare workflows, often across multiple Indian languages.
Build the evaluation and guardrails that keep outputs reliable and safe in a high-stakes domain.
Move fast across several engagements at once, iterating tightly with clients and shipping in short cycles.
Take systems from prototype to production: instrument them, debug them under real load, and keep improving accuracy and reliability.
What We're Looking For
A few years of hands-on engineering, building and shipping real applied AI applications, not just prototypes.
Genuine strength with the applied AI stack: LLMs, prompting, retrieval (RAG), fine-tuning, evals, and agentic systems.
Experience building and running agents in production, both on the cloud and locally.
Solid backend engineering and the ability to own services in production. We care that you can build a robust backend, not which language you do it in.
A working understanding of healthcare workflows and how care is actually delivered and paid for.
High agility above all: you are comfortable with ambiguity, you iterate fast, and you own a problem end to end without waiting to be told what to do.
Strong communication and the confidence to work directly with clients, translating their needs into what you build.
A clear bias for shipping, with the judgment to know what is good enough to put in front of real users in a high-stakes domain.
Bonus Points
You have dealt with healthcare clients before: providers, payors, diagnostics, or pharma.
Hands-on experience with healthcare data: clinical documentation, claims, prior authorization, or patient records.
Experience with Indian language NLP or multilingual AI.
Awareness of data privacy and compliance in regulated domains.
Why Sarvam?
Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems at the frontier of AI with real population-scale impact.
Work alongside researchers, engineers, and builders who move fast and hold each other to a very high bar.
High ownership and high impact from day one, on applications that reach real patients and real institutions.
Everything we do is AI-first, from how we build and ship to how we think about problems.
A chance to build AI that changes how an entire country accesses and delivers care.