AI Engineer

In this role you will design and productionise AI-enabled features using large language models, RAG, and agent frameworks to deliver business value. You will guide AI coding assistants, validate production-ready solutions, and ensure security, observability, and cost governance. You’ll prototype rapidly, build web-based applications, and integrate AI into our Azure-based platform. You’ll champion AI agent-led delivery across the team, shaping best practices and driving the adoption of advanced tooling. This is a hands-on, impact-oriented opportunity in a fast-moving, global financial services context.

• 25 days of annual leave
• private healthcare
• pension with up to 10% company match
• hybrid working
• volunteer day
• share scheme

• Design, build and productionise AI-enabled features with LLMs, RAG, prompts, and agent frameworks
• Own evaluation, testing, guardrails, observability, security and cost management for AI solutions
• Rapidly prototype ideas and turn concepts into working software within days
• Develop web-based applications and services, integrating AI with C#/.NET, React/Angular, Python on Azure
• Direct AI coding assistants and orchestrate agent workflows, review code for architecture, security and quality
• Own delivery of a small suite of business projects aligned with the technical vision
• Drive adoption of AI agent-led delivery, coaching others in responsible use of AI tooling
• Challenge existing SDLC processes for AI integration and collaborate with Engineering Leads on tooling

• Hands-on experience with AI and agentic tech: LLMs, RAG, prompts, agent frameworks (LangChain, LangGraph, Semantic Kernel)
• Experience using AI coding assistants/agentic tools (GitHub Copilot, Claude Code, Cursor) in delivery
• Strong software engineering background (10+ years) with React/Angular, TypeScript, C#/.NET and Python
• Azure cloud experience and GitHub/Azure DevOps across the SDLC and Agile delivery
• Proven rapid prototyping from concept to demo in days
• Experience leading, influencing and mentoring through hands-on work
• Finance/insurance sector experience or ability to quickly adapt to a financial services environment
• Excellent communication skills for collaboration with technical and business stakeholders
• Ability to work independently or in teams, in remote or on-site settings

• excellent communication
• problem solving under pressure
• ability to challenge established approaches
• large language models
• RAG and prompt engineering
• LangChain, LangGraph, Semantic Kernel