AI Product Engineer (Full Stack / AI Systems)

Adria Solutions
Manchester, United Kingdom
Last month
£60,000 – £85,000 pa

Salary

£60,000 – £85,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
23 Apr 2026 (Last month)

Benefits

Competitive salary 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
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)

Related Jobs

View all jobs

Senior Applied AI Engineer (.NET)

Adria Solutions Warrington, United Kingdom
£65,000 – £75,000 pa Hybrid

.Net Software Developer - AI Product

Spectrum IT Recruitment Fareham, United Kingdom
£45,000 – £50,000 pa Hybrid

AI Product Manager – Startup

360 Resourcing M33Hg, M3 3HG, United Kingdom
£50,000 – £70,000 pa Hybrid

Senior Software Engineer

Faculty AI London, United Kingdom
Hybrid

Infrastructure Engineer

Synthesia London, United Kingdom
Remote

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.