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For Companies At a Glance
- Tasks: Design and build AI-powered features from frontend to backend, tackling real-world AI challenges.
- Company: Join a forward-thinking tech company in Manchester focused on innovative AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work model, and high autonomy in your role.
- Other info: Collaborate with diverse teams and shape the future of AI in core products.
- Why this job: Make a real impact by working directly on production AI systems, not just prototypes.
- Qualifications: Strong full-stack engineering skills and experience with AI/LLM features in production.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are building a new AI‑powered product line and are seeking a hands‑on AI Product Engineer to design, build, and scale intelligent systems in production. This role bridges product thinking, software engineering, and real‑world AI system behaviour, turning ideas into reliable, production‑ready features used at scale.
Key Responsibilities
- Design and build AI‑powered product features end‑to‑end (frontend, backend, and AI layer)
- Work with large language models 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
- 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
Qualifications
- 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
Desirable Experience
- 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
What sets this role apart
- 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 → product feature → production AI system
- You will help shape how AI is embedded into core product experiences
Benefits
- 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
AI Product Engineer (Full Stack / AI Systems) in Manchester employer: Energy Jobline CVL
Contact Detail:
Energy Jobline CVL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer (Full Stack / AI Systems) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or full-stack development. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨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, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AI Product Engineer (Full Stack / AI Systems) in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full-stack engineering experience and any AI/LLM features you've built. We want to see how you can design and scale intelligent systems, so don’t hold back on showcasing your best work!
Tailor Your Application: Read the job description carefully and tailor your application to match. Use the same language and keywords we’ve used to describe the role. This shows us that you understand what we're looking for and how you fit in.
Be Curious: We love a strong curiosity and product mindset! In your application, share examples of how you've asked the right questions or tackled complex problems in your previous roles. It’s all about showing us your thought process.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes it easier for us to keep track of all the amazing candidates like you!
How to prepare for a job interview at Energy Jobline CVL
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI systems, especially large language models. Be ready to discuss prompt engineering and how to debug AI behaviour, as these are crucial for the role. Prepare examples from your past experiences where you've tackled issues like hallucinations or context injection failures.
✨Show Off Your Full-Stack Skills
Since this role requires strong full-stack engineering experience, be prepared to talk about both frontend and backend projects you've worked on. Highlight any specific technologies you've used, like cloud platforms (AWS or Azure), and how you've built scalable APIs or services in production.
✨Collaborate Like a Pro
This position involves working closely with product, engineering, and operations teams. Think of examples that showcase your collaborative spirit and how you've contributed to system design decisions. Emphasise your ability to ask the right questions and engage with different teams effectively.
✨Get Familiar with Modern Tools
Familiarity with tools like Kubernetes, event-driven architectures, and frameworks like Vue or React can set you apart. If you have experience translating UI/UX designs into production code, make sure to mention it. Show that you're not just a coder but someone who understands the bigger picture of product development.