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About the Role
Design and build a modern, AI-enabled application from the inside out as a Senior Python AI Engineer. This role is at the cutting edge of generative AI, agentic systems, and Retrieval-Augmented Generation (RAG), focusing on AI orchestration and information retrieval.
Responsibilities
- 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.
Requirements
- 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.
Skills
- Python
- FastAPI
- LangGraph
- LangChain
- Retrieval-Augmented Generation (RAG)
- AI orchestration
- Information retrieval
- Generative AI
- Agentic systems
- Vector search
- Graph databases
- Microsoft Azure
- REST APIs
- Automated testing
- Source control
- Code review
- CI/CD
- Angular
- NgRx
- .NET
- C#
Location
- Remote
- Hybrid
Work Type
- Full-time
Experience Level
- Senior
Benefits
- 25 days of annual leave plus an extra WTW day
- Private healthcare
- Life insurance
- Group income protection
- Regular health assessments
- Defined contribution pension scheme with matched contributions up to 10%
- Hybrid working options
- Employee assistance programme
- Fully paid volunteer day
- Electric vehicle car scheme
- Share scheme
- Cycle-to-work programme
- Dental cover
- Optical cover
- Critical illness protection
About the Company
- HR Expert
Equal Opportunity
- Committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants.
- If you foresee any barriers, from the application process through to joining WTW, please email candidatehelpdesk@wtwco.com.