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.
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
What we’re looking for
- 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
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
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