AI Product Engineer (Full Stack / AI Systems)

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.

• 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 product feature production AI system
• You will help shape how AI is embedded into core product experiences

• 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