AI Product Engineer (Full Stack / AI Systems)
CV-LibraryManchesterpermanentPosted: 23 April 2026
Apply NowAI 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)
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)