AI Engineer

AI Engineer

Full-Time No working from home possible
The Automobile Association

At a Glance

  • Tasks: Design and build cutting-edge AI solutions that make a real difference.
  • Company: Join The AA, a leader in innovative technology and services.
  • Benefits: Enjoy a competitive salary, annual bonus, private medical insurance, and generous leave.
  • Other info: Collaborative environment with opportunities for professional growth and development.
  • Why this job: Be at the forefront of AI technology and drive impactful outcomes.
  • Qualifications: Strong Python skills and experience in AI/ML engineering required.

As AI Engineer at The AA, you will design, build and operate production-grade AI solutions that power services for members and frontline teams. You'll own technical delivery from discovery to production, applying robust engineering practices and collaborating across product, data and engineering teams. This role focuses on Generative AI, Large Language Models and agentic systems to scale intelligent, safe solutions. You'll join a newly established AI function within the COO to drive responsible AI delivery and impactful outcomes.

Pay / Benefits

  • Design, build, test and operate production-ready AI and ML applications (incl. Generative AI, LLMs, agentic AI)
  • Develop clean, maintainable Python backends, APIs and cloud-native AI apps
  • Take technical ownership from discovery to production
  • Turn complex problems into practical technical solutions with evidence-based trade-offs
  • Apply engineering practices across testing, CI/CD, containerisation, deployment, monitoring and MLOps/LLMOps
  • Collaborate with product, data, engineering and stakeholders to support responsible AI delivery (security, governance, performance monitoring)

Tasks

  • Strong production Python engineering skills
  • Experience in AI/ML engineering or AI-focused software engineering with production deployments
  • Experience taking AI/ML capabilities beyond PoC (deployment, monitoring, failure handling)
  • Strong software/backend engineering fundamentals for reliable APIs/services
  • Ability to work independently through ambiguity and make sound technical decisions
  • Experience with Generative AI, LLMs, RAG, agentic systems and communicating trade-offs

Key requirements

  • Annual bonus
  • Cash-car allowance
  • Private medical insurance
  • 25 days annual leave + holidays
  • Worksave pension with employer contributions
  • AA breakdown membership from Day 1 + family discount

AI Engineer employer: The Automobile Association

The Automobile Association is an excellent employer, offering a dynamic work culture in Oldbury where innovation thrives. With a strong focus on employee growth, you will have the opportunity to collaborate with talented teams while enjoying generous benefits such as 25 days of annual leave and a pension scheme, making it a rewarding place to advance your career in data science.

The Automobile Association

Contact Details:

The Automobile Association Recruitment Team

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 Automobile Association 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 Automobile Association.

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 Automobile Association.

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 Automobile Association 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

Python Engineering
AI/ML Engineering
Generative AI
Large Language Models (LLMs)
Agentic Systems
API Development
Cloud-Native Applications

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 Automobile Association.

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 Automobile Association 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 Automobile Association

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 Automobile Association 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.