About the job

Position: Lead AI Engineer

Location: Leeds (at least 1 day per week)

Company: One of the most exciting AI Product consultancies to hit the market in the last 12 months

Why join?

They are growing fast, winning serious enterprise work, and building an in-house AI capability that moves quicker than the competition. With a raft of new projects ready to go in, they are looking for a Senior AI Engineer to join their team.

We’re looking for innovators, the kind of engineer who doesn’t just read about new tools, but builds with them at home.

What you’ll be working on

• Designing and building AI-first products for a diverse client base, from early-stage HealthTech startups to globally recognised automotive brands
• Shipping production-grade LLM-powered systems, including orchestration, agent frameworks, and conversational experiences that users actually rely on
• Owning the full product lifecycle, from early discovery and rapid prototyping through to scalable, enterprise-ready delivery
• Working at the intersection of product, engineering, and AI, translating real user problems into pragmatic technical solutions
• Embedding AI capability into products and teams, so value and knowledge stay inside the business rather than with external vendors

Who we’re looking for

We're not looking for someone who just knows how to prompt a model or pass a certification. We're looking for an AI Engineer who lives for the "What if?", the kind of person whose browser tabs are a graveyard of GitHub repos and whose local machine is probably running a custom LLM right now just because you wanted to see if you could.

AND it would be even better if you can offer a mixture of the following:

• Experience in AI engineering, automation, workflow engineering, or software development, with real projects shipped to production
• Hands-on experience building AI-powered products, not just prototypes, from orchestration to deployment
• Strong exposure to LLMs such as Claude, Codex, Gemini, or open-source models
• Experience with LLM orchestration frameworks and agent-based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks)
• Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows
• Experience integrating AI into real systems, APIs, event-driven architectures, data pipelines, and automation platforms (e.g. UiPath, Blue Prism)
• Comfortable experimenting with new models, SDKs, and platforms, and evaluating what’s production-ready vs hype

Next steps

If you’re excited about building innovative and ground-breaking platforms that make a real-world impact, we’d love to hear from you.