Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev).
Our mission is to make global manufacturing supply chains robust to an ever-changing world. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We’re focusing on a $3tn market of procurement.
You’ll be working alongside our CTO on the most cutting-edge component of our product to deliver the very best that agentic AI can achieve. You’ll be using the latest models, frameworks, and paradigms to ship enterprise-grade AI solutions to Fortune 500 procurement and supply chain teams, and completely transform the way these teams work.

MAGENTIC ACCOMMODATIONS FOR APPLICANTS WITH DISABILITIES

Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly

IN THIS ROLE YOU WILL:

• 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

THIS ROLE MAY BE A GOOD FIT FOR YOU IF:

• You have engineering experience at tech and product-driven companies, so you know what great code looks like
• You have experience shipping LLM-based solutions to production
• You have a deep understanding of the core technology behind language models, as well as computer science fundamentals
• You have built features end-to-end in Python