Applied AI Engineer

About the role

You will develop agents that can understand tasks, use tools and APIs, work with enterprise data, produce structured outputs, and involve people when approval or review is required. You will integrate these capabilities into our Python/Django, Go, and Angular/TypeScript platform on Azure. The role requires strong software engineering fundamentals and a willingness to balance rapid experimentation with reliability, security, evaluation, and maintainability.

What you'll do

• Design and build agentic AI features using tool/function calling, structured outputs, workflow orchestration, state management, and human-in-the-loop controls
• Integrate agents with APIs, databases, documents, business services, and external systems
• Build LLM applications using prompt engineering, context management, RAG, vector search, and model APIs
• Implement asynchronous workflows with retries, timeouts, progress tracking, and recovery
• Integrate AI capabilities into backend services and expose them through clean APIs and user interfaces

What you need

• 5–8 yrs of experience
• Python
• SQL
• LLMs
• Azure
• PostgreSQL
• Django
• PhD or M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech

Good to have

• Go
• Angular
• TypeScript
• FastAPI
• Redis
• Docker