More jobs:
Python AI Engineer
Job in
Coventry, West Midlands, CV1, England, UK
Listed on 2026-10-03
Listing for:
Stott and May Inc.
Full Time
position Listed on 2026-10-03
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Python, Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
Start: ASAP
Duration: 6 months +
Location:
hybrid, central London
Rate:
DoE, inside IR35
We’re looking for an experienced Python AI Engineer to build and product ionise Generative AI and RAG solutions. You’ll work across AI orchestration, retrieval, evidence processing, LLM integration, response generation and validation, collaborating with engineering, data and platform teams.
Key Responsibilities- 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, Lang Graph, 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.
- Azure OpenAI / Azure AI Search / Azure AI Foundry
- Pydantic AI, Lang Graph 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
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