Staff Engineer, Product Infrastructure

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

The Role

At the heart of Sarvam’s conversational AI platform sits the system that lets our customers build, configure, deploy, and operate voice agents and campaigns — at scale. Today it handles 50M+ minutes of conversations every month, and it’s growing fast.

We’re looking for a Staff Engineer to own this system end-to-end. The data model. The APIs. The orchestration. The reliability. The performance. The standards we hold ourselves to. This is an IC role with the scope and authority of one — no people management, just the systems and the bar.

What You’ll Own

The end-to-end backend for agent, campaign, and user management — from data modeling through API design to deployment, in Python and FastAPI

Workflow orchestration with Temporal for complex, long-running, stateful operations

Performance and reliability for a multi-tenant SaaS platform operating at sub-second latency SLOs

Observability — logging, metrics, tracing — so the team can debug production confidently and quickly

Integration testing — the test infrastructure that lets us ship fast without breaking customer-facing systems

Close collaboration with the frontend team (Next.js) to deliver an experience worthy of the underlying platform

Setting the design-first and documentation-first engineering culture within your team — RFCs before code, decisions written down, no tribal knowledge

What We’re Looking For

5–10 years building production backend systems, with deep expertise in Python and FastAPI (or Golang)

A track record of full-stack ownership — you’ve designed systems end-to-end, made the trade-offs, and operated them in production

Hands-on experience with workflow orchestration at scale, ideally Temporal

Built and operated high-scale distributed systems — multi-tenant, low-latency, resilient under real load

Strong PostgreSQL and Redis fundamentals — schema design, query performance, caching strategy

The judgment to know when to build vs. buy, when to optimize vs. ship, when to abstract vs. inline

Nice to Have

Experience building products on top of LLMs or AI/ML systems

Background in telephony, VoIP, or SIP infrastructure

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