Forward Deployed Engineer at Sarvam AI

Sarvam AI hires Forward Deployed Engineers in Bengaluru to put its own Indian-language AI models and agents to work inside enterprise customers. It is one of the clearest “pure” FDE roles in India: you write production code on Sarvam’s platform, you own the customer’s deployment, and you carry what you learn back to the product team.

What the FDE does at Sarvam AI

Analytics India Magazine reports that Sarvam describes itself as building a sovereign AI platform for India, from research and foundation models to applications. According to the same report, its FDEs work with enterprise clients such as Tata Capital, SBI Life, CRED, IDFC and LIC, and the company is clear that the job is hands-on engineering, not technical project management.

Across Sarvam’s two listings, the FDE owns:

• Agents in production. Building, deploying and monitoring conversational agents over voice, WhatsApp, web and in-app channels, and tuning them on real usage data.
• Custom LLM applications built on Sarvam’s APIs, including prompt design for each use case.
• Integration and reliability. Scoping a solution, writing integration scripts, fixing bugs and meeting the customer’s latency, accuracy and cost targets.
• Evaluation. Building evaluation pipelines and quality metrics, then iterating on production data.
• Feedback and demos. Giving technical demos to support sales, documenting deployments and passing customer feedback to product and research.

The 2–5 year listing says engineers are matched to a product team after hiring: Samvaad (conversational agents), API Dashboard (developer tooling and integrations), Content Studio (dubbing and live translation in client environments) or ARYA (MCP servers, multi-agent systems and event-driven pipelines).

Experience and skills Sarvam asks for

Analytics India Magazine adds that deploying AI in regulated sectors such as banking, insurance or the public sector is an advantage, which fits Sarvam’s customer list.

Pay

Sarvam does not publish pay for its FDE roles; the 1–3 year listing only promises “competitive compensation”. For a reference point, Taggd puts FDE pay at AI startups in India at about ₹25–70 LPA. Treat that as the range for experienced hires: early-career FDE listings at Indian startups that do post pay have been much lower. Run your own numbers in the FDE Salary Estimator with “AI startups” and “Bengaluru” selected.

How to prepare for a Sarvam AI FDE application

1. Build one Indian-language agent end to end. A WhatsApp or voice agent that handles a real task in Hindi or another Indian language, with retrieval over your own documents, is the closest thing to Sarvam’s day job.
2. Measure it. Add a small evaluation set and track accuracy, latency and cost per conversation. Sarvam’s listings mention evaluation pipelines and cost efficiency explicitly.
3. Write it up like a deployment. A short README covering the customer problem, architecture, trade-offs and what you would change becomes your portfolio piece, and the application asks for a portfolio.
4. Do the assignment properly. The application includes a completed AI agent assignment. Treat it as your first customer delivery: working code, clear setup steps and an honest note on limitations.
5. Prepare customer stories. Even internship examples count. Have two short stories ready about explaining something technical to a non-technical person and turning their feedback into a fix.

For the wider skill set, read our guide to FDE skills Indian employers want, and if you are early in your career, how much experience you need.

Sarvam AI FDE interview: what is publicly known

1. Application: Sarvam's Forward Deployed Software Engineer listing asks for a resume, a portfolio and a completed AI agent assignment with the application.
2. Later rounds: The interview rounds after the assignment are not described publicly. Expect the agent you submit to be discussed, so be ready to explain your design choices, evaluation and cost.