About the roleWe already run two kinds of agent alongside our teams. AI agents diagnose performance problems and tell people the root cause. Rule-based agents recommend marketing actions to our advertising teams. The quality of their decisions shows up directly in our revenue.Next, both take a greater role in the day-to-day running of our lead generation business, moving from recommending, to acting with a person's approval, to acting on their own where it is safe. We need an engineer to build agents that are dependable in production, measurable, and safe to trust with more.This is a hands-on engineering role. You'll own agents end to end, from understanding the workflow to running them in production, alongside our existing AI engineer, data scientists, product managers and the people who use the agents every day. Today we use Claude and open-weight models such as GLM, chosen per task on quality and cost, on an agent framework we build ourselves.What you'll doBuild agentsStart from the workflow. Sit with the operators, map how the work is actually done, and build for that, not for the process as documented.Build on shared rules. Rule-based and LLM agents that call shared, versioned rules and tools, not logic hard-coded inside each agent.Connect them to the business. Using our data warehouse, internal services, and the APIs into the systems agents act in.Turn outputs into results people trust. Structured outputs, validation and clear application logic.Make them safe to trustLog every decision. Each action records its context, what was chosen, and whether a person accepted or overrode it, so agents can be evaluated and improved.Build the path to autonomy. Per decision, agents move from recommend, to act with approval, to act alone. Our data scientists propose the bar from agreement and override data and point people in the business sign it off; you build the mechanism that enforces it on our shared agent framework, with permissions and guardrails in the code, not the prompt.Evaluate behaviour, not just code. Test sets, agreement with expert operators, and evaluation before and after every change.Run what you ship. Tracing, failure handling, and tracking quality, latency and cost. There's no on-call rota.What we're offering you:Summer FridaysCompetitive holiday benefits - 25 days a year paid holiday, plus 8
AI Engineer in Kennington employer: MVF Global
MVF is an exceptional employer that prioritises employee experience and development, making it a fantastic place for Travel Advisers to thrive. With a strong focus on diversity, equity, and inclusion, as well as comprehensive wellbeing initiatives, employees are supported at every stage of their career. The collaborative work culture fosters growth through tailored training opportunities and the chance to engage with teams across the US and EMEA, ensuring a dynamic and rewarding environment.
