Stakemate

AI Engineer

• Sit with the teams who feel the pain, find where an agent would genuinely pay for itself, and get something in front of them quickly enough to learn whether you were right.
• Choose the approach and own the reasoning: low-code, pro-code, or something bought off the shelf, weighed on cost, control and how fast it can land.
• Turn the experiments that earn it into agents we're happy to put in front of players, tested and validated to the standard a live product demands.
• Design for the failure cases: a call that times out, a tool that errors, a job that runs for an hour, a decision the agent should hand back to a person.
• Build the shared frameworks, templates and infrastructure that let other engineers ship their own agents without starting from scratch.
• Set the technical shape of our agent estate: how we retrieve, how we evaluate, how we constrain behaviour, how we see what's happening, and how any of it reaches production.
• Decide what needs sign-off before an agent goes live, how it handles player data, and where its authority stops.
• Leave a clear trail behind every agent: what it does, why we promoted it, what it costs, and whether the return still justifies it.
• Be Stakemate's AI champion: office hours, demos and short training sessions that make the wider team genuinely better at using AI.
• Partner with department leads on where AI helps, and where it doesn't.

Senior AI Engineer