Python AI engineer in enterprise software

Ready to build production AI that actually ships — not another proof-of-concept chatbot? Join us as a Senior Python AI Engineer on HR Expert, where you'll help design and build a modern, AI-enabled application from the inside out. This is a genuinely hands-on engineering role at the cutting edge of generative AI, agentic systems and Retrieval-Augmented Generation (RAG) — solving the hard, interesting problems around AI orchestration, information retrieval and grounding that most engineers only get to read about.

• Design, develop and maintain AI-powered application services using Python.
• Build and evolve agentic workflows and AI orchestration using LangGraph and LangChain.
• Develop scalable APIs and backend services using FastAPI.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines that combine LLMs with enterprise knowledge and data sources.
• Work on retrieval strategies including vector, metadata and graph-based retrieval.
• Contribute to the architecture and implementation of complex AI workflows involving multiple agents, tools and data sources.
• Integrate AI services with the wider HR Expert application and existing enterprise systems.
• Develop and deploy solutions using Microsoft Azure, working across relational, document, vector and graph-based data stores.
• Collaborate with architects, developers, product owners and other technical specialists to turn requirements into robust technical solutions.
• Participate in technical design discussions, code reviews and engineering decision-making.
• Help establish good engineering practices around testing, observability, performance and maintainability of AI applications.
• Investigate emerging AI technologies and evaluate where they can provide practical value to the product.
• Occasionally contribute to frontend or existing .NET services where needed — though this is not the primary focus of the role.

• Strong Python development experience in production applications.
• Experience building APIs and backend services, ideally with FastAPI.
• Proven experience building applications with LLMs, using LangChain and/or LangGraph and agentic workflows.
• Experience developing RAG solutions and integrating multiple systems and data sources via REST APIs.
• Solid engineering practices — automated testing, source control, code review and CI/CD — with a focus on production-quality software over prototypes.
• A good understanding of production generative AI challenges: retrieval quality, grounding, context management, evaluation, reliability and performance.
• Будет плюсом: Experience in any of the following would be particularly valuable: complex RAG architectures (multi-stage retrieval, hybrid search, reranking, agent-driven retrieval); graph databases and GraphRAG, particularly ArangoDB; Azure AI services (Azure OpenAI, AI Search, Cosmos DB, AKS, Functions); vector/semantic search; Docker and Kubernetes; multi-tenant applications; LLM evaluation and observability; and Angular, NgRx or .NET / C# development

• You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge.
• Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind.
• Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company.
• We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community.
• On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more.