The role
You'll take over day-to-day backend ownership from our founding engineer, who is shifting to product. The core of the job is building: new API servers and data models across our platform — some already in flight, more planned — on Python and Azure. You'll also maintain and extend our production multi-agent system (Python/LangGraph fronting a healthcare data warehouse): it's largely built, and needs incremental improvement, monitoring, and steady hands. You'll carry the backend through a major go-live this fall, working directly with the founders and our external web-app development partner.
What you'll do
- Design and build new API services and data models — greenfield development is the bulk of the role, picking up in-flight work and starting planned services from scratch.
- Maintain and extend the production LangGraph multi-agent backend: incremental capabilities, tool integrations, monitoring, and reliability.
- Design and build multi-tenant access control: per-organization data isolation, credential architecture, JWT/OIDC auth flows (Auth0).
- Run the backend's Azure footprint day to day: managed identities, Key Vault, CI/CD pipelines, environment promotion (dev → UAT → prod).
- Handle healthcare data responsibly — PHI-aware design is part of the job.
- Work async with a founder-led team and an external dev shop; write decisions down.
What we're looking for
- 5–8 years of backend engineering with deep, current Python.
- A track record of designing and shipping API services and data models from scratch — not just extending existing systems.
- You've worked with LLM agent systems in production — LangGraph preferred, or comparable frameworks with real users behind them.
- Production Azure experience: identity, secrets, app hosting, pipelines.
- Strong SQL (SQL Server and/or Postgres) and multi-tenant data-access design.
- Auth fundamentals: OAuth2/OIDC, JWT.
- Self-directed — you'll often be the only engineer on the problem.
- Bonus: US healthcare data (claims, CMS programs), HIPAA experience, Terraform.
Pay: ₹1,500,000.00 - ₹2,000,000.00 per year
Work Location: In person
