Own the end-to-end backend for Sarvam's conversational AI platform, focusing on performance and reliability.
Posted by employer 4 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Role intensity
70% hands-on coding
Requirements
- Experience
- 5–10 years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Staff Engineer at Sarvam AI is responsible for the end-to-end development of a robust backend system that supports their conversational AI platform, focusing on data modeling, API design, and deployment. Proficiency in Python and FastAPI is essential, along with experience in workflow orchestration and building high-scale distributed systems. This role is ideal for someone with 5 to 10 years of experience who has a strong track record of full-stack ownership and thrives in a fast-paced, innovative environment. Sarvam AI is positioned at the forefront of AI technology in India, collaborating with major enterprises and public institutions.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Sarvam AI's career page.
- Sarvam AI has 62 other open roles including Performance Engineer, Inference, Platform Engineer - AI Infrastructure, ML Ops Engineer, Chanakya.
- 6527 active Python roles on Joblaze right now.
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- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- How much experience is required?
- 5–10 years of relevant experience for this Staff Engineer, Product Infrastructure 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, Product Infrastructure 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
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