AI Product Engineer

The RoleWe're looking for an AI Engineer to build the agentic core of our product. You'll work closely with our CTO and own LLM-based features and agentic workflows end to end, from the agent framework through to the tooling that connects it to a customer's ERP. You’ll ship the cutting edge models and paradigms to Fortune 500 procurement teams.Procurement is a demanding domain for agents: long-running workflows over messy data, where a wrong answer costs a customer real money. You'll decide how multi-agent collaboration works here, and how we benchmark it for performance, safety and behaviour.We're building next-generation agentic systems that can manage entire procurement workflows, with a mission to make global manufacturing supply chains more resilient to an ever-changing world. That's a $3tn market opportunity.We're backed by world-class investors including Sequoia Capital, and you'll be joining a team bringing together experience from OpenAI, Meta, Revolut, NASA and McKinsey.What You’ll DoOwn development and deployment of LLM-based features and agentic workflows end-to-endDevelop new agentic frameworks to handle multi-agent collaboration.Benchmark LLMs across performance, safety and behavioural monitoring.Operationalise AI features by building tools to connect them to customer systemsCollaborate with customers and internal teams to understand customer problems and design optimal solutionsYou Might Be a Great Fit if YouHave engineering experience at tech and product-driven companies, so you know what great code looks likeHave experience shipping LLM-based solutions to productionHave a deep understanding of the core technology behind language models, as well as computer science fundamentalsHave built features end-to-end in PythonEnjoy communicating with both technical and non-technical stakeholders.Compensation and BenefitsAt Magentic, we recognise and reward the talent that drives our success. We offer:Competitive Equity: play a real part in Magentic’s upsideA s