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 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
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