Python AI Engineer

Build and maintain production-grade Python AI/RAG services.

• Develop multi-step and agentic AI workflows using structured outputs, tool calling and schema validation.
• Implement vector, lexical and hybrid retrieval, reranking, metadata filtering and evidence selection.
• Build robust asynchronous services with appropriate retries, timeouts and failure handling.
• Develop automated unit, integration, contract and regression tests.
• Implement logging, tracing, monitoring and performance optimisation.
• Improve AI quality, latency, cost, token usage and reliability through evaluation and production feedback.

Strong commercial Python development experience, including async programming, typing, testing and performance optimisation.

• Proven delivery of Generative AI and RAG solutions into production.
• Hands-on experience with Pydantic, LangGraph, Semantic Kernel / Microsoft Agent Framework or similar.
• Strong understanding of LLM integration, structured outputs, tool calling, prompt/model management and fallback strategies.
• Strong knowledge of embeddings, vector/lexical search, hybrid retrieval, query decomposition, chunking and reranking.
• Experience with Pytest, APIs, Git, CI/CD, Docker and observability.
• Strong troubleshooting skills across application, retrieval, model, concurrency and performance issues.

Desirable

• Azure OpenAI / Azure AI Search / Azure AI Foundry
• Pydantic AI, LangGraph or Semantic Kernel
• RAG/LLM evaluation and retrieval-quality metrics
• Kubernetes, telemetry and load testing
• Knowledge graphs, temporal retrieval or document linkage
• AI monitoring, governance and prompt-injection protection
• Experience working in regulated or specialist knowledge domains