At a Glance
- Tasks: Design and deploy innovative AI applications, tackling real-world challenges with cutting-edge technology.
- Company: Join the AA, a leading motoring organisation evolving beyond roadside assistance.
- Benefits: Enjoy competitive pay, annual bonuses, private medical insurance, and generous leave.
- Other info: Diverse learning opportunities and a supportive, inclusive workplace await you.
- Why this job: Be part of an exciting journey in AI, shaping the future of motoring.
- Qualifications: Experience in AI Engineering and strong Python skills are essential.
Location: London (hybrid working 3 office days per week)
Employment Type: Permanent, full time
Additional Benefits: Annual Bonus, Cash-Car Allowance & Private Medical Insurance
Think the AA is just about roadside assistance? Think again. For over a century, we've been evolving and adapting. Today, the national leading motoring organisation offers a wide range of products and services to millions of customers, from roadside assistance to home and motor insurance, and the latest driving technologies. As we continue to expand, diversify, and modernise, joining us as an AI Engineer means you'll play a crucial role in our success and be part of this exciting motoring journey.
The COO are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.
What will I be doing?
- Design, build and deploy production ready AI and Machine Learning applications, including Generative AI, Large Language Models and Agentic AI solutions.
- Develop reliable backend services and cloud native AI applications, writing clean and scalable Python code.
- Partner with product managers, data scientists, engineers, designers and business stakeholders to turn complex business challenges into practical AI solutions.
- Contribute to solution design, product thinking and technical strategy, helping shape AI products from discovery through to production.
- Apply strong engineering practices across CI/CD, containerisation, monitoring, observability, MLOps and LLMOps.
- Support responsible AI delivery by embedding fairness, transparency, security, governance and performance monitoring throughout the development lifecycle.
What do I need?
- Applied experience in AI Engineering, Machine Learning Engineering or applied AI Software Engineering, with evidence of building and deploying real Generative AI applications.
- Strong backend engineering capability, confident Python coding skills and experience working in cloud native environments.
- Practical experience delivering AI products beyond proof of concept, including production deployment, monitoring, iteration and improvement.
- Experience working with LLMs, orchestration frameworks and modern AI application patterns to solve real world problems.
- A strategic and collaborative mindset, with the confidence to influence stakeholders, challenge constructively and contribute to product and technical direction.
- Strong communication skills, including the ability to explain technical ideas clearly to both technical and non-technical audiences.
Benefits
- 25 days annual leave plus bank holidays + holiday buying scheme
- Worksave pension scheme with up to 7% employer contribution
- Free AA breakdown membership from Day 1 plus 50% discount for family and friends
- Discounts on AA products including car and home insurance
- Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
- Company funded life assurance
- Diverse learning and development opportunities to support you to progress in your career
- Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family
We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.
AI Engineer employer: The AA
The AA is an exceptional employer, offering a dynamic work environment in London with hybrid working options that promote a healthy work-life balance. As an AI Engineer, you'll benefit from competitive perks such as an annual bonus, private medical insurance, and diverse learning opportunities to advance your career. Join a forward-thinking team that values innovation, inclusivity, and personal growth, making a meaningful impact in the evolving world of motoring technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨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 The AA 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 The AA.
✨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 The AA.
✨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 The AA 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 Engineer
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 The AA.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The AA 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 The AA
✨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 The AA 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.
