Software Development Engineer - Tejas

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.

Our team builds Sarvam's context engine to solve both problems. The knowledge side brings an enterprise's data together so agents can search it, navigate it and cite where an answer came from. The memory side lets agents remember what they learn over time, about individual users, about teams, and across the organisation. We want both to keep improving as they are used.

Knowledge and memory for agents is a rapidly evolving field. We want to build at the frontier of it, and to show with measurable results that our approach does better than traditional ones.

ABOUT SARVAM

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.

WHAT THIS ROLE PROMISES YOU

You will join a small team and own large parts of the platform. 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.

WHAT YOU'LL DO

- Build and run the ingestion pipeline that parses, extracts and indexes large volumes of documents, and keep it reliable when files are messy and external services fail.

- 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.

- Build memory for agents at the level of a user, a team and the whole organisation: how it is written, stored, retrieved and kept accurate over time.

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

- Work with product and forward-deployed engineers to turn what one customer needs into something the platform does for every customer.

- Write design docs and keep decisions documented.

Our production stack is Go, with Temporal, OpenSearch and Postgres.

WHO YOU ARE

We are hiring at 3 to 5 years of experience.