AI Product Engineer (Full Stack) in Crawley

AI Product Engineer (Full Stack) in Crawley

Crawley Full-Time 58500 - 71500 £ / year (est.) Home office (partial)
WeDo

At a Glance

  • Tasks: Design and deliver innovative software features using AI tools in a collaborative team.
  • Company: Join a leading InsurTech company revolutionising software development with AI.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on evolving AI practices and career advancement.
  • Why this job: Be part of a transformative team shaping the future of software engineering with AI.
  • Qualifications: Experience in C#, .NET, and AI coding tools; strong engineering judgement required.

The predicted salary is between 58500 - 71500 £ per year.

Surrey - Hybrid, 2 days per week in the office

Work Type

Permanent

Role

We're working with an established Insur Tech business that is entering an exciting stage in how it builds software.

The team is moving beyond simply using AI coding assistants and towards a genuinely agentic software development lifecycle

  • where engineers increasingly define intent, orchestrate AI, review its output and apply the engineering judgement needed to deliver high-quality production software.

You'll join an established engineering team working on a mature workflow automation platform used by 100+ clients.

The product already has AI capabilities in production, with a wider roadmap focused on expanding how AI is incorporated into both the product itself and the way the engineering team develops software.

This isn't an AI research position or a traditional Full Stack role with \"AI\" added to the title.

They're looking for an experienced software engineer who has already started changing the way they build software using AI and wants to help shape what modern engineering looks like as these capabilities mature.

Responsibilities

  • Design and deliver end-to-end product features across a C#/. NET backend and modern frontend environment.
  • Work closely with Product to define, refine and deliver the product roadmap.
  • Use AI coding and agentic tools as part of day-to-day software engineering and delivery.
  • Help evolve how AI is incorporated across specifications, development, PRs, code reviews, testing and QA.
  • Critically review AI-generated code for quality, correctness, security, maintainability and architectural fit.
  • Help turn successful individual AI practices into repeatable approaches that benefit the wider engineering team.
  • Write and maintain unit tests, test frameworks and automated test cases.
  • Identify defects, performance bottlenecks and technical debt.
  • Contribute to the continued development of AI functionality within the product.
  • Work in an environment where the focus is increasingly moving from simply writing code towards specification, design, orchestration and engineering judgement.

Required Skills

  • Strong commercial software engineering experience with

C# and . NET .

  • Full-stack development experience, ideally including

Angular or another modern frontend technology.

  • Strong understanding of software design, testing, architecture and engineering quality.
  • Commercial experience using

AI coding assistants and/or agentic development tools as part of real software delivery .

  • Able to demonstrate experience beyond basic Copilot usage, including how AI has been incorporated into your development workflow.
  • Confidence reviewing AI-generated solutions and knowing when to trust, challenge, correct or override the output.
  • Comfortable writing clear specifications/prompts that both engineers and AI agents can work from.
  • Strong engineering judgement and the confidence to challenge how something has been designed or implemented.
  • Comfortable operating in an environment where AI engineering practices are evolving quickly.
  • Collaborative approach with the ability to share knowledge and raise engineering practices across a team.

Why should I apply?

There are plenty of engineering roles talking about AI. This opportunity gives you the chance to work in a team that is actively changing how software gets engineered because of it .

You'll be joining at an inflection point.

AI is already being used across development and QA, but the next challenge is moving from individual productivity gains towards a structured Agentic SDLC that can operate effectively at scale.

There's also a dual opportunity: you won't just use AI to build the product ; you'll contribute to a product that is itself becoming increasingly

AI-enabled , with an evolving roadmap around intelligent workflow automation.

You'll have the opportunity to bring practices you've already developed into an established engineering environment, influence how the wider team works and continue developing your own skills as the boundaries between specification, architecture, development, testing and AI orchestration continue to evolve.

If you're a strong software engineer who believes the future of development is less about who can type the most code and more about who has the judgement to design, orchestrate and validate great software, this could be a particularly interesting next move.

#J-18808-Ljbffr

AI Product Engineer (Full Stack) in Crawley employer: WeDo

Join a dynamic and growing Microsoft Partner in the Midlands or South, where your role as an Account Manager will focus on building meaningful, long-term relationships with customers. Enjoy a supportive work culture that values collaboration and invests in employee growth, offering hybrid working options and a competitive salary package that includes a car allowance and commission. This is a unique opportunity to make a significant impact in a company that prioritises customer success and values your contributions.

WeDo

Contact Details:

WeDo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Product Engineer (Full Stack) in Crawley

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at WeDo or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to WeDo.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like WeDo.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like WeDo that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Product Engineer (Full Stack) in Crawley

C#
.NET
Full-stack Development
Angular
Software Design
Software Testing
Software Architecture

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at WeDo.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at WeDo and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at WeDo

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If WeDo uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.