Key skills
PythonAILarge Language ModelsOpenAIClaudeGeminiRAGLangChainLangGraphGitVersion ControlTime ManagementCollaboration
About this role
Role Overview
- Design, build and deploy AI-powered applications and intelligent agents
- Develop Retrieval Augmented Generation (RAG) solutions using structured and unstructured data
- Integrate and evaluate Large Language Models including Claude, OpenAI and Gemini
- Design and implement AI workflows using frameworks such as LangGraph and LangChain
- Build integrations using Model Context Protocol (MCP) and AI tool-calling capabilities
- Develop prompt engineering strategies and optimise AI performance, accuracy and reliability
- Evaluate AI systems and continuously improve response quality while reducing hallucinations
- Monitor AI applications in production, optimising latency, cost and reliability
- Research and implement new AI technologies, frameworks and best practices
- Collaborate with Product, Engineering and Data teams to deliver end-to-end AI features
- Contribute to AI governance, testing, evaluation and observability
- Write secure, maintainable and well documented code
Requirements
- Strong Python programming skills
- Experience building production AI applications using Large Language Models (LLMs)
- Experience integrating models such as Claude, OpenAI or Gemini
- Strong understanding of Retrieval Augmented Generation (RAG)
- Experience building AI Agents and autonomous workflows
- Experience with LangGraph, LangChain or similar AI orchestration frameworks
- Understanding of Model Context Protocol (MCP) and AI tool integrations
- Strong prompt engineering skills and experience working with structured outputs
- Experience evaluating AI systems and improving response quality
- Strong analytical and problem-solving skills
- Proficiency in Git and version control best practices
- Focus on performance, accessibility, and user experience
- Strong time management skills and the ability to meet deadlines
- Great collaboration skills for cross-departmental projects
Tech Stack
- Python
Benefits
- Competitive Salary
- Company bonus scheme
- Private Healthcare and Medicash plan
- 26 days holiday + bank holidays, plus volunteer days
- Tax-saving Salary Sacrifice Pension with Aviva
- Salary sacrifice Cycle to Work, Octopus Electric Vehicle, and Nursery fee schemes available
- Access to a benefits platform with £250 per year for wellbeing, and £150 per year for development
- Bumper Flex policy for better work/life balance
- Annual company-wide Bumper Retreat
- 4 months paid leave to primary carers, and 1 month paid leave to secondary carers