You are joining a world class team of AI engineers at a consultancy that has had four billion in investment from top private equity firms and is now backed by OpenAI. You are building multi-agent systems and voice to voice pipelines for clients that actually matter. These are high-profile, complex projects that push what is currently possible with applied AI. You are not maintaining legacy code or retrofitting AI into something that does not want it. You are shipping real LLM-based solutions end to end, from architecture through to production. You are working with organisations that are genuinely investing in AI at scale, which means the problems are interesting and the stakes are real. When it comes to what you bring, you have shipped LLM-based solutions and agents into production end to end. Your Python fundamentals are strong and you can write clean, reliable code without leaning on AI tools to do it for you. This is a hybrid role, so you have flexibility in how you work day to day.
