At a Glance
- Tasks: Create innovative AI-driven products and workflows for top-tier companies.
- Company: Exciting AI consultancy with a fast-growing team and collaborative culture.
- Benefits: Remote-first work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with regular meet-ups and a fun team culture.
- Why this job: Join a cutting-edge team and make a real impact in the AI space.
- Qualifications: Experience in AI engineering and hands-on product development.
The predicted salary is between 36000 - 60000 € per year.
A truly amazing opportunity on behalf of one of the most exciting AI Product consultancies to hit the market. Company X is growing fast, winning serious enterprise work, and building an in-house AI capability that moves quicker than the competition. As we end 2025 on a high, and with projects ready to go in 2026, we are looking for an AI Engineer to join the team.
We’re looking for an AI innovator, the kind of technologist who doesn’t just read about new tools, but builds with them at home. If you’ve got your own lab, side projects, half-finished experiments, or AI products you tinker with at night… keep reading.
What you’ll be building:
- AI-driven workflows and products on behalf of blue chip UK & Global companies.
- LLM orchestration, agent frameworks, and conversational systems that actually run in production.
- End-to-end solutions, from scrappy prototype to enterprise-grade delivery.
- An internal AI capability that stays inside the business, not lost to vendors.
Who we’re looking for:
- Experience in AI engineering, automation, workflow engineering, or software development, with real projects shipped to production.
- Hands-on experience building AI-powered products, not just prototypes, from orchestration to deployment.
- Strong exposure to LLMs such as Claude, GPT-4/4.1, Gemini, or open-source models.
- Experience with LLM orchestration frameworks and agent-based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks).
- Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows.
- Experience integrating AI into real systems, APIs, event-driven architectures, data pipelines, and automation platforms (e.g. UiPath, Blue Prism).
- Comfortable experimenting with new models, SDKs, and platforms, and evaluating what’s production-ready vs hype.
Next steps: Company X are looking to meet potential AI Innovators before the Christmas break. Get in touch as soon as possible and we will respond as soon as possible.
Please note: This role is being offered as remote first with the preference being candidates based within 100 miles of Leeds with the plan to meet up fortnightly to collaborate and have a beer.
AI Engineer in Reading employer: MRJ Recruitment
Company X is an exceptional employer for AI Engineers, offering a dynamic work culture that fosters innovation and collaboration. With a focus on building cutting-edge AI products for prestigious clients, employees benefit from hands-on experience in a fast-paced environment, alongside opportunities for professional growth and development. The remote-first approach, combined with regular team meet-ups near Leeds, ensures a supportive community where creativity thrives and ideas come to life.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in Reading
✨Tip Number 1
Get your hands dirty! Build your own AI projects and showcase them. Whether it's a side project or an experiment, having something tangible to discuss during interviews can really set you apart from the crowd.
✨Tip Number 2
Network like a pro! Connect with other AI enthusiasts and professionals on platforms like LinkedIn. Join relevant groups, attend meetups, and don’t hesitate to reach out to people at Company X. You never know who might help you land that interview!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLMs and orchestration frameworks. Practice coding challenges and be ready to discuss your past projects in detail. We want to see your thought process and how you tackle problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team. Don’t wait too long; we’re eager to meet potential AI Innovators before the holidays!
We think you need these skills to ace AI Engineer in Reading
Some tips for your application 🫡
Show Your Passion for AI:We want to see your enthusiasm for AI! Share your personal projects, experiments, or any tinkering you've done with AI tools. This is your chance to showcase your innovative spirit and hands-on experience.
Tailor Your Application:Make sure to customise your application to highlight relevant experience in AI engineering and product development. We love seeing how your skills align with our needs, so don’t hold back on the specifics!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and experiences. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at MRJ Recruitment
✨Show Off Your Projects
Bring along examples of your own AI projects, whether they're side hustles or experiments. This will not only showcase your hands-on experience but also demonstrate your passion for AI innovation.
✨Know Your Tools
Familiarise yourself with the latest LLMs and orchestration frameworks mentioned in the job description. Be ready to discuss how you've used them in your past work or how you plan to integrate them into future projects.
✨Prepare for Technical Questions
Expect questions about integrating AI into real systems and your experience with automation platforms. Brush up on your knowledge of APIs, data pipelines, and event-driven architectures to impress your interviewers.
✨Be Ready to Experiment
Demonstrate your comfort with experimenting by discussing any new models or SDKs you've tried out recently. Share your thought process on evaluating what's production-ready versus just hype, as this shows your critical thinking skills.
