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


Interested? Please Click Apply Now!

AI Product Engineer (Full Stack / AI Systems)