How much experience is required?

8–12 years of relevant experience for this Staff Engineer - Telephony role.

What's the tech stack?

Joblaze extracted these technologies from the posting: FastAPI, PostgreSQL, Python, Redis, Temporal.

What seniority level is this role?

Sarvam AI targets staff-level candidates for this position.

Is this full-time or contract?

Full-time for this Staff Engineer - Telephony role at Sarvam AI.

Staff Engineer - Telephony at Sarvam AI

Joblaze summary

The Staff Engineer at Sarvam AI will focus on developing and maintaining the backend systems for their telephony platform, ensuring reliable performance and orchestration of voice agents. Key skills include expertise in Python and FastAPI, along with experience in building telephony infrastructure and high-scale distributed systems. This role is suited for seasoned engineers with a strong background in full-stack ownership and a hands-on approach to problem-solving. Sarvam AI emphasizes a design-first culture, encouraging documentation and collaboration across teams.

Joblaze insights

Listed today — first seen on Joblaze October 7, 2026. Last confirmed on Sarvam AI's careers page October 7, 2026.
Python appears in 29.4% of 51 comparable staff backend roles in India; Temporal appears in 3.9% of 51 comparable staff backend roles in India.

Quick facts

How much experience is required?: 8–12 years of relevant experience for this Staff Engineer - Telephony role.
What's the tech stack?: Joblaze extracted these technologies from the posting: FastAPI, PostgreSQL, Python, Redis, Temporal.
What seniority level is this role?: Sarvam AI targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Engineer - Telephony role at Sarvam AI.

From the original posting

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

Samvaad is a conversational AI platform for enterprises, startups, digital natives, and governments. We are hiring hands-on technical owners who can take ambiguous problems through to reliable production systems.

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. The platform currently powers millions of voice calls a day that are deeply personalised and understands the users.

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

8-12 years building production backend systems, with deep expertise in Python and FastAPI (or Golang)
Must-have experience in building telephony infrastructure, primarily SIP / VoIP
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
Time at an early- or growth-stage startup - comfort with ambiguity, speed, and ownership