SDE2 - API Platform

About the Role

Sarvam's model APIs (LLM, ASR, TTS, Vision, Translate) are how developers and enterprises ship products on our foundation models. Our OpenAI-compatible LLM APIs route every request across multiple model deployments, with streaming, failover, metering, billing, and rate-limiting all part of the same stack. Today it's FastAPI and Python; we're in the middle of rewriting it in Go.

We're hiring a Software Engineer (SDE 2) to own core parts of this platform. The features. The reliability. The performance. This is an IC role.

What You'll Do

• Building and evolving the LLM API platform, from the moment a request hits the edge to the response that goes back out

• The Python→Go rewrite: building services in Go alongside the existing Python stack, without compromising reliability

• Streaming infrastructure: SSE for Chat Completions and Responses, long-lived connections, clean handling of cancellations and client disconnects

• Routing and failover: weighted provider chains, retries with backoff, and latency-driven admission control across model deployments

• Protocol compatibility: keeping the API faithful to the OpenAI spec across inference servers (vLLM, SGLang, Dynamo) that each behave slightly differently

• The commercial layer: metering, billing, and rate-limiting, engineered to the same bar as the model APIs themselves

• Performance and reliability for a multi-tenant platform serving long-context agentic and coding workloads

• Observability (logging, metrics, tracing), so the team can debug production confidently and quickly

• Integration and load testing: the harness that lets us ship fast without breaking customer-facing APIs

• Close partnership with the Inference and MLOps teams on production readiness for new model launches

• Design-first, documentation-first engineering culture within the team: RFCs before code, decisions written down, no tribal knowledge

What We're Looking For

• 3+ years building production backend systems

• Strong Python in production: asyncio, FastAPI or similar, and services you've built and operated under real load

• Working knowledge of Go, or a strong willingness to learn it: you'll work in both languages through the rewrite

• Experience building low-latency, multi-tenant backend services

• Hands-on experience with streaming systems: SSE or WebSockets, long-lived connections, backpressure

• Strong PostgreSQL and Redis fundamentals: schema design, query performance, caching, and rate limiting

• Comfort running services on Kubernetes in production

• An ownership mindset: you test before you ship, debug production with metrics, logs, and traces, and write the RCA afterwards

Bonus Points

• Experience serving or integrating LLMs in production, especially OpenAI-compatible APIs

• Familiarity with inference servers (vLLM, SGLang, Dynamo) and latency metrics such as time to first token and inter-token latency

• Experience building metering, billing, or usage-based pricing infrastructure

• Time at an early- or growth-stage startup: comfort with ambiguity, speed, and ownership

• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar

• High ownership and high impact, from day one

• Everything we do is AI-first, from the way we build and ship to the way we think about problems

• You can work on problems that could change how an entire country learns, works, and communicates