At a Glance
- Tasks: Develop and integrate AI solutions to enhance business workflows and customer interactions.
- Company: Join a dynamic tech team transforming retail with innovative software solutions.
- Benefits: Enjoy a competitive salary, remote work, 25 days holiday, and a supportive team.
- Other info: Flexible level; junior and mid-level engineers encouraged to apply.
- Why this job: Make a real impact by shaping AI solutions in a fast-paced environment.
- Qualifications: Experience in software engineering and familiarity with agentic coding tools required.
The predicted salary is between 40000 - 60000 £ per year.
A growing technology team is changing how software is built and used across a nationwide retail business. AI is already supporting customer enquiries, call transcription, document processing and internal development. The next step is to apply it more widely, while improving the underlying products and processes that support the business.
This is a hands-on software engineering role for someone who wants to understand real operational problems, help shape the solution and see it through to production.
You will work remotely, with regular opportunities to spend time at one of the company's stores or vehicle preparation centres. Living within practical travelling distance of a site would therefore be useful.
The opportunity involves working with a growing network of used car supermarkets, supported by its own technology covering stock, pricing, sales, customer communications and internal operations. Engineers use agentic coding tools such as Claude Code as a normal part of software development. These tools are used to build and deliver working products, not simply to autocomplete code.
You will work with teams across sales, customer care, finance, logistics and vehicle preparation to understand how work currently gets done. You will then help decide what should be improved, what should be built and whether AI is genuinely the right solution.
The immediate focus is likely to include improving how customer leads are managed across telephone, text, website enquiries and the company's existing AI assistant. Other projects could include:
- Building voice agents for appointment confirmations and follow-up calls
- Expanding the company's customer-facing AI assistant
- Using multimodal models to process service histories, photographs and documents
- Extending an internal MCP server that connects AI tools with company systems
- Developing internal applications and dashboards
- Contributing to applications used by employees across the company's stores
The approach is pragmatic. Sometimes the answer will be an AI integration. Sometimes it will be improving the workflow, using an existing product or building conventional software properly.
Engineers take ownership of particular business areas and work directly with the people using the software. The team works in short delivery cycles, releases regularly and uses agentic coding tools throughout development. AI may generate a significant proportion of the initial code, but engineers remain responsible for understanding, reviewing and safely releasing it. You will be supported by product colleagues, a Principal Engineer and an experienced wider team, with opportunities for pairing, technical guidance and code review.
You should have:
- A good grounding in software engineering
- Experience developing with TypeScript
- Confident use of an agentic coding tool such as Claude Code, Cursor, GitHub Copilot or OpenAI Codex
- The ability to understand, review and improve AI-generated code
- The confidence to speak with non-technical colleagues and ask useful questions
- Experience taking a feature or personal project from an idea through to a working outcome
- Familiarity with Git and modern development practices
Commercial experience building AI-enabled products would be useful, but it is not essential. Relevant personal projects, experimentation and demonstrable use of agentic development tools will also be considered. Experience with any of the following would be helpful:
- Third-party API integrations
- AWS Lambda or serverless development
- Event-driven systems
- OpenAI, Anthropic or other LLM APIs
- Prompt engineering, MCP or agent patterns
- React
- PHP, Laravel, MySQL or DynamoDB
- Swift or SwiftUI
You are not expected to have worked with everything listed.
This role is not an ML engineering or data science role. You will be integrating existing AI services into business workflows rather than training models. It is also not a ticket-only development position. You will be expected to help understand the problem, shape the solution and take responsibility for what reaches production.
The level is flexible. Applications are welcome from capable junior and mid-level engineers who can demonstrate sound engineering fundamentals, strong use of agentic coding tools and the motivation to take ownership.
Benefits include a salary of £40,000 to £60,000, remote working across the UK, 25 days' holiday plus bank holidays, company pension, support from an experienced technical and product team, and genuine involvement in deciding how AI is used across the business.
Apply now or contact Chris Lynes at Spectrum IT Recruitment for an informal discussion about the role.
AI Product Engineer in Southampton employer: All The Top Bananas
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We think this is how you could land AI Product Engineer in Southampton
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace AI Product Engineer in Southampton
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 All The Top Bananas.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at All The Top Bananas 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 All The Top Bananas
✨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 All The Top Bananas 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.