magentic · London
Skills: Python
THE ROLE We'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 DO - Own development and deployment of LLM-based features and agentic workflows end-to-end - Develop 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 systems - Collaborate with customers and internal teams to understand customer problems and design optimal solutions YOU MIGHT BE A GREAT FIT IF YOU - Have engineering experience at tech and product-driven companies, so you know what great code looks like - Have experience shipping LLM-based solutions to production - Have a deep understanding of the core technology behind language models, as well as computer science fundamentals - Have built features end-to-end in Python - Enjoy communicating with both technical and non-technical stakeholders. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: - Competitive Equity:…
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