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Better Placed in Warrington is looking for an AI Engineer to join a growing technology team. This engineering role focuses on building practical AI applications that bring real value, turning prototypes into production-ready solutions.
You’ll work on RAG, retrieval-based applications, AI agents, APIs, and Azure deployments, and collaborate with software engineers to deliver scalable, reliable AI capabilities across business systems.
My client is looking for an AI Engineer to join a growing technology team in Warrington.
This is primarily an engineering role rather than a traditional Data Science position. You'll be designing and building applications and services that make practical use of Generative AI, taking ideas from early prototypes through to reliable, production-ready solutions.
It's a great opportunity for an engineer who has already gained hands-on commercial experience with LLMs and Generative AI and now wants to work on larger-scale applications where the technology is being used to solve genuine business problems.
You'll work on a range of AI-focused engineering projects, including:
You'll have the opportunity to contribute to technical decisions and help shape how AI is used across the wider organisation.
I'm interested in speaking with AI Engineers or Software Engineers who have developed strong practical experience with modern AI technologies.
You'll ideally have experience across several of the following:
Experience with technologies such as Microsoft AI Foundry, Azure Machine Learning or similar AI platforms would be particularly useful, but isn't essential.
The key thing I'm looking for is someone who can demonstrate that they have actually built AI-powered software, rather than simply experimented with AI tools or completed personal projects.
You'll need good software engineering fundamentals and an understanding of what it takes to move an AI application into a reliable production environment.
Rather than being restricted to one narrow project, you'll get exposure to a range of AI use cases and have the opportunity to experiment with new technologies while still being focused on building things that deliver measurable value.
There's plenty of scope to influence technical direction as the AI capability continues to develop.