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- Tasks: Design and build AI-powered product features from frontend to backend.
- Company: Join a cutting-edge tech company revolutionising AI products.
- Benefits: Competitive salary, hybrid work model, and high autonomy.
- Other info: Work directly on production AI systems with excellent growth opportunities.
- Why this job: Shape the future of AI systems and make a real impact.
- Qualifications: Strong full-stack engineering experience and AI feature development.
The predicted salary is between 60000 - 80000 £ per year.
We are building a new generation of AI-powered products and are looking for a hands-on AI Product Engineer to help design, build, and scale intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale.
You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products.
Key responsibilities- Design and build AI-powered product features end-to-end (frontend, backend, and AI layer)
- Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour
- Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures
- Build scalable backend services and APIs using modern cloud infrastructure C#, .NET Experience
- Develop responsive frontend applications and translate product designs into working interfaces
- Work with event-driven and distributed systems where required
- Collaborate closely with product, engineering, and operations teams to deliver customer-facing AI features
- Contribute to system design decisions including scalability, observability, and reliability
- Strong full-stack engineering experience (frontend + backend development)
- Experience building or shipping AI/LLM-powered features in production
- Understanding of prompt engineering, LLM behaviour, and AI failure modes (e.g. drift, hallucination, context issues)
- Experience working with cloud platforms (AWS or Azure)
- Strong backend engineering skills (APIs, data flow, system design)
- Comfortable debugging complex production issues across distributed systems
- Ability to work with frontend engineers and product teams collaboratively
- Strong curiosity and product mindset - asking the right questions, not just writing code
- RAG (Retrieval-Augmented Generation) systems or agent-based AI workflows
- Kubernetes or containerised deployment environments
- Event-driven architectures and scalable system design
- Experience translating UI/UX designs (e.g. Figma) into production frontend code
- Familiarity with Vue, React, or similar frameworks
- Exposure to enterprise-scale AI or data-heavy applications
- You will be working directly on real AI systems in production, not prototypes
- You will be expected to debug AI behaviour, not just infrastructure issues
- You will own the full journey from idea to product feature to production AI system
- You will help shape how AI is embedded into core product experiences
What we offer
- Competitive salary (based on experience)
- Hybrid working model
- Opportunity to work on cutting-edge AI product development
- High autonomy and influence over technical direction
- Exposure to modern AI tooling and agent-based development workflow
Interested? Please Click Apply Now!
AI Product Engineer (Full Stack / AI Systems) in Warrington employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer (Full Stack / AI Systems) in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and full-stack development. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and full-stack engineering questions. Practice explaining your thought process when debugging LLM behaviour or designing scalable systems—this will set you apart!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Product Engineer (Full Stack / AI Systems) in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our job description. Highlight your full-stack engineering experience and any AI/LLM projects you've worked on. We want to see how you can bridge product thinking with software engineering!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this role. Share specific examples of how you've tackled production issues or built user-facing features. This is your chance to show us your personality!
Showcase Your Projects: If you've got a portfolio or GitHub with relevant projects, make sure to include it! We love seeing real-world applications of your skills, especially anything related to AI systems or full-stack development. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Adria Solutions
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially C#, .NET, and cloud platforms like AWS or Azure. Brush up on your full-stack engineering skills, as you'll need to demonstrate your ability to work across both frontend and backend.
✨Showcase Your AI Knowledge
Be prepared to discuss your experience with AI systems, particularly LLMs. Talk about any projects where you've built or shipped AI-powered features, and be ready to explain concepts like prompt engineering and debugging AI behaviour in production.
✨Demonstrate Problem-Solving Skills
Expect to face questions about how you would handle production issues such as hallucinations or incorrect outputs. Think of specific examples from your past experiences where you successfully resolved complex problems, and be ready to walk through your thought process.
✨Collaborative Mindset
This role requires working closely with product and engineering teams, so highlight your teamwork skills. Share examples of how you've collaborated on projects, especially in translating UI/UX designs into functional code, and how you’ve contributed to system design decisions.