Python Agentic AI Engineer

Role & responsibilities

Design and build the scalable service and API layer that powers an automated code modernisation and migration platform, enabling large-scale analysis, transformation, and orchestration of legacy systems.

• Build and maintain scalable Python microservices and APIs that support and wrap agentic workflows
• Build and interact with MCP services and tools
• Ensure backend services are robust, well-tested, and production-ready
• Contribute to agentic architecture discussions
• Build AI / agentic features end-to-end on Azure
• Develop Python services and APIs for agent orchestration, tool use, and data flow
• Build TypeScript / React UIs for human-in-the-loop and review tooling
• Contribute to evaluation, guardrails, and production-readiness
• Write clear, well-tested code; raise engineering practice

Preferred candidate profile

• Hands-on experience with LangChain and LangGraph, RAG (Retrieval-Augmented Generation), and MCP (Model Context Protocol) building real agentic applications, not just familiarity
• Strong Python engineering — clean, testable, production-grade code
• Strong hands-on Python and TypeScript / React
• Production experience on Azure (AKS, Functions, App Service, or equivalent)
• Comfortable working across back-end and front-end
• Solid testing, observability, and CI/CD habits
• Experience building microservices and RESTful APIs