Enterprises want agents that can do real work on their own data. That data sits across documents, databases and business systems that were never built for agents to read, and today's agents forget most of what they learn once a session ends.

The knowledge side brings an enterprise's data together so agents can search it, navigate it and cite where an answer came from. Knowledge and memory for agents is a rapidly evolving field. 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. We are building the AI layer for a billion people.

The work is driven by real customer deployments, so what you build gets used quickly and you see what works and what does not. You will also work closely with the teams building Sarvam's models, document AI and inference, which makes it much easier to solve problems that cut across the stack.

Connect to databases and enterprise systems so agents can work with structured records as well as documents.

Design how enterprise data is modelled, including the ontology, matching the same entity across sources,



and tracing every value back to where it came from.

Build the retrieval tools agents call, with search, filters and citations, and make them fast and cheap enough for agents to use heavily.

Run evals, find where answers go wrong, and keep iterating until quality improves.

We are hiring at 3 to 5 years of experience.

You have built and run backend or data systems in production, and you have fixed them when they broke.

You are strong in at least one backend language. Our core is in Go, so Go experience is a plus, and you should be happy to work in it every day.

You have valuable fundamentals in data modelling and PostgreSQL.

You use AI coding tools every day and have a good sense of where they help and where they don't.

You care about measuring quality, and you are comfortable building the evals to do it.

Bonus points

Experience with knowledge graphs, ontologies, entity resolution or structured extraction.

Experience building memory for agents or LLM applications.

Connectors or change data capture for ERP, CRM or other enterprise systems.

Building on MCP, or serving LLMs and embedding models in production.

On-prem or air-gapped deployments.

Experience at an early- or growth-stage startup.

📌 Software Engineer - Full Stack Development (Bengaluru)
🏢 Sarvam Health
📍 Bengaluru