SDE2 - API Platform

Wwshemi; Bengaluru; Presencial; INR 1.100.000 - 1.900.000; Jornada completa

Descripción de la vacante

Sarvam is hiring a Software Engineer (SDE 2) to own core parts of our platform, spanning LLM APIs (OpenAI-compatible), ASR, TTS, Vision, and Translate. The role is an IC position focused on reliability, performance, and design-first engineering in a fast-growing AI environment.

You will contribute to the Python stack and the Go rewrite, build streaming and routing systems, and ensure multi-tenant scalability with robust observability.

Formación

• 3+ years building production backend systems.
• Strong Python in production: asyncio, FastAPI or similar.
• Go experience or willingness to learn and work in both languages.
• Experience building low-latency, multi-tenant backend services.
• Hands-on with streaming systems: SSE or WebSockets.
• Strong PostgreSQL and Redis fundamentals: schema design, caching, rate limiting.
• Comfort running services on Kubernetes in production.
• Ownership mindset: test before ship, debug with metrics/logs/traces.

Responsabilidades

• Build and evolve the LLM API platform from edge to response.
• Rewrite the Python stack in Go alongside existing services.
• Develop streaming infrastructure (SSE) for chat and long-lived connections.
• Implement routing and failover with weighted provider chains and retries.
• Ensure API compatibility with OpenAI spec across inference servers.
• Develop metering, billing, and rate limiting for the commercial layer.
• Improve observability with logging, metrics, and traces.
• Collaborate with Inference and MLOps teams for production readiness.

Conocimientos

Python Asyncio

FastAPI

Go

Streaming

WebSockets

Kubernetes

PostgreSQL

Redis

Multi-tenant

Observability

Herramientas

vLLM

SGLang

Dynamo

Descripción del empleo

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.