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 Why Sarvam? Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact. 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 If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.