Principal AI Engineer

About the role

This is work that transforms the lives of patients, and the careers of those who do it.

What you'll do

• Design, build, and deploy autonomous multi-agent workflows using orchestration frameworks such as LangGraph, CrewAI, Autogen, or similar
• Architect graph-based agent workflows with 10+ nodes involving agent collaboration, task decomposition, and sequential/parallel execution across multiple business domains
• Develop and maintain reusable agent node libraries, extensible platform patterns, versioning strategies, and testing frameworks (unit, integration
• Build production-grade FastAPI applications with async I/O patterns, integrating PostgreSQL, Redis, and external enterprise services
• Implement real-time agent streaming using Server-Sent Events (SSE) and WebSocket protocols, alongside RESTful and event-driven API architectures for agent orchestration

What you need

• 9–16 yrs of experience
• Python
• Machine learning
• LLMs
• AWS
• Prompt engineering
• Azure
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• FastAPI
• CI/CD
• GCP
• Docker
• Git
• Redis