Full Stack Engineer - AI Focused

In this role you will help build market-leading SaaS insurance software and advance an agentic software development lifecycle. You’ll collaborate with the Product Owner to shape and deliver the backlog and design solutions that meet both functional and non-functional needs. You’ll apply AI coding tools to accelerate delivery while ensuring quality through tests and code reviews. You’ll participate in Agile practices, incident response, and platform hardening, contributing to scalable, governed software in production. This is a growth-focused opportunity at an inflection point in AI-assisted development.

• 25 days annual leave
• private healthcare
• life insurance
• group income protection
• defined contribution pension with up to 10% company match
• hybrid working

• Collaborate with Product Owner to define, refine and deliver the product backlog
• Design and build software meeting requirements, leveraging AI tools to speed delivery
• Write and maintain unit tests and automated test cases
• Review and debug code to identify defects and performance bottlenecks
• Participate in Agile/scrum ceremonies and continuously improve velocity and practices
• Contribute to incident response and platform hardening based on production learnings
• Shift toward design-led work, defining system boundaries and integration patterns
• Draft clear specifications and prompts for AI agents and review AI-generated code for correctness and security
• Orchestrate AI capabilities and agentic workflows within governed pipelines
• Promote reusable engineering practices to benefit the whole team
• Stay current with emerging AI engineering practices to improve delivery outcomes

• Solid full-stack development experience with cloud/SaaS exposure
• Strong grasp of software design, testing, and quality fundamentals
• Comfortable working in Agile/scrum teams with Product collaboration
• Hands-on experience using AI coding assistants or agentic tools in real delivery
• Ability to write clear specifications and prompts and critically review AI-generated code
• Curious and self-directed about emerging AI engineering practices
• Ability to work with ambiguity and adapt to evolving operating models
• Interest in statistics and algorithm development
• Desirable familiarity with insurance industry knowledge and degree-level education in a relevant discipline

• collaboration with cross-functional teams
• curiosity and self-direction
• problem solving and analytical thinking
• full-stack development across modern front-end and back-end technologies
• cloud/SaaS familiarity
• software design, testing and quality fundamentals