Agent Engineer

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.

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

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.