Applied AI Engineer – C#/.NET \& Generative AI
Central Nottingham | Hybrid – 3 days onsite per week | Up to £70,000 DOE
To be considered for this role, you must have hands-on commercial experience implementing LLM / Generative AI functionality into a live software product .
This means more than using Copilot, ChatGPT or AI tooling to support software development.
We are specifically looking for engineers who have personally designed, built and shipped AI-enabled product functionality using technologies such as LLMs, RAG, embeddings, vector search/databases, agents or orchestration frameworks .
If your AI experience is limited to personal projects, proof-of-concepts or developer productivity tools, this role is unlikely to be suitable.
The opportunity
Our client is an established software business investing heavily in the next generation of its product suite. As part of that investment, they are building out an Applied AI engineering capability focused on introducing meaningful Generative AI functionality into real commercial software used by customers.
This is not an AI research role and it is not simply about connecting an application to an LLM API.
They need a strong software engineer who understands how to take AI functionality from an idea through to production-quality product engineering .
You will work on genuine customer problems, combining traditional software engineering with modern AI techniques to build functionality that is useful, reliable, secure and commercially viable.
What you'll be doing
You will design, build and deliver AI-enabled functionality within established software products, working closely with Product, Engineering and other technical stakeholders.
What we're looking for
We would particularly like to speak with engineers who have worked with some combination of:
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Experience across modern frontend technologies such as React, Angular, Next.js or TypeScript would also be useful, although the strongest requirement is the combination of .NET engineering + genuine production AI experience .
What good looks like
What AI functionality they built, why it was needed, how the architecture worked, which models/tools were used, what they personally coded and how the solution behaved once it reached production.
You should be equally comfortable discussing traditional software engineering principles as you are discussing LLMs.
We are not looking for somebody whose AI experience begins and ends with:
“I use Copilot every day.”
“I built this AI capability, integrated it into the product, deployed it to customers and can explain exactly how it works.”
Location \& package
This is an excellent opportunity for a strong .NET engineer who has already moved beyond experimenting with Generative AI and wants to build serious AI functionality inside established commercial software products .
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