GenAI Engineering sits within Motorway’s Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from agentic workflows in the customer journey to LLM-powered tooling for our dealer network.
What we build goes into the hands of real sellers and thousands of verified dealers, usually within weeks. When it works, someone sells their car more easily. When it doesn’t, we hear about it. That feedback loop is short, and it shapes how we work. We have a track record of successful deployments and a strong reputation as a result.
Over the next two years the function scales from shipping AI features to running a serious GenAI platform.
We’re looking for a Lead GenAI Engineer to set the technical standard for AI work across the function, and to build the hardest parts of it themselves.
You’ll own the architecture and standards for complex, product-facing GenAI work. You’ll hold sign-off on the systems that carry real risk, and you’ll be the person a squad comes to when they’ve hit something genuinely hard. This is a player-coach role: your own code sets the bar others refer back to, and you’ll spend as much energy making senior engineers better as you do building.
Most of what makes a GenAI feature good sits around the model rather than in it. The prompting is rarely the hard part. Retrieval quality is, and so is the data feeding it, evaluation you can trust, sensible behaviour when things fail, and getting it live and keeping it there. The standards that matter most here are the ones that make that work repeatable across teams. We’re not precious about the route you took to this kind of engineering.