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# Full Stack Engineer - AI Focused

- **Company:** WTW
- **Location:** Cambridge, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Algorithm Design, Automation of Tests, Unit Testing, Software as a Service, Code Generation, Software Debugging, Scrum Methodology, Software Engineering, Technical Debt, AI Coding Agents, Software Coding
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=71af78fd11f4ced6

## About the Role

* Solid full-stack development experience across modern front-end and back-end technologies, with cloud/SaaS exposure.
 * Strong grasp of software design, testing and quality fundamentals - you know what good looks like and can articulate why.
 * Comfortable working in Agile/scrum teams and collaborating closely with Product.

AI fluency

 * Hands-on experience using AI coding assistants or agentic tools in real delivery - and, more importantly, good judgement about when to trust, correct or override them.
 * Able to write clear specifications and prompts, and to critically review AI-generated code for correctness, security and maintainability.
 * Curious and self-directed about emerging AI engineering practice - you actively experiment rather than wait to be trained. (Specific tools matter less than the fluency and judgement; the toolchain will keep changing.)

Mindset

 * Comfortable with ambiguity and change - you can do valuable work today while the operating model around you is still forming.
 * Passion for complex problem solving, as well as statistics and algorithm development
 * Paint drip-shaped: you have multiple deep areas of expertise and demonstrate ability to use various approaches and adapt as roles blur.
 * Sees reviewing and specifying as real engineering and an opportunity to deliver even more value, not a step down from writing code.
 * A growth mindset and a bias to improve the system, not just complete the ticket.

General knowledge of the insurance industry and degree level education in a relevant discipline is highly desirable but not essential.

## Description

We are looking for a full-stack developer to join a growing Insurtech business unit (based in Cambridge) building market-leading insurance software with a focus on the development of modern SaaS based solutions.

You will join at a genuine inflection point: we are moving from AI-assisted coding toward an agentic software development lifecycle, where engineers increasingly describe intent, and orchestrate, review and govern the work that AI executes.

The Role
Today the role focuses on:

 * Working with the Product Owner to define, refine and deliver the product backlog.
 * Designing and building software solutions that meet functional and non-functional requirements, using AI coding tools to accelerate delivery.
 * Writing and maintaining test-related code - unit tests, test frameworks and automated test cases.
 * Reviewing and debugging code to identify defects, performance bottlenecks, and technical debt.
 * Participating in Agile/scrum activities (planning, stand-ups, retrospectives) and continuously improving team velocity, process and engineering practice.
 * Participating in incident response and continuously hardening the platform based on production learnings

The role will evolve and we expect more focus on:

 * Business outcomes - partnering closely with business stakeholders to understand underlying needs, challenge assumptions where appropriate, and measure success through tangible business and user outcomes.
 * Design over implementation - spending more time defining system boundaries, integration patterns and architectural intent, using AI-assisted tools to explore solutions and validate design decisions before code is written.
 * Specification as a first-class craft - writing clear, testable intent and acceptance criteria that agents and humans can both act on.
 * Review and quality judgement - evaluating AI-generated work for correctness, security and design fit, rather than typing every line yourself.
 * Orchestration - composing and supervising AI capabilities and agentic workflows inside governed pipelines with clear quality gates.
 * Raising the team, not just yourself - turning good individual practice into shared, reusable capability so the whole team gets faster, not just one person.
 * Learning and adaptation - staying current with emerging AI capabilities and engineering practices, helping the team identify, adopt and govern new ways of working that improve delivery and outcomes