About this role
Based in London, the AI Product Engineer role at Magentic involves building agentic systems for procurement workflows and suits software professionals with production LLM experience. The position requires close collaboration with the CTO to deliver end-to-end artificial intelligence features.
Role Overview
This position requires an engineer to develop the core agentic framework for procurement platforms. The employee works from the London hybrid headquarters three days per week and focuses on deploying reliable models for supply chain management.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Magentic builds next-generation agentic systems to manage procurement workflows and make global manufacturing supply chains resilient. The organization is backed by investors including Sequoia Capital and employs staff with prior experience from OpenAI, Meta, Revolut, NASA, and McKinsey.
How to Apply
Interested candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the job?
The role is based at the London headquarters with a hybrid working model requiring three days per week in the office.
What is the salary range for this position?
The salary is between £90,000 and £110,000 per annum, plus competitive equity.
What programming language is required?
Candidates must have experience building features end-to-end in Python.
What does the interview process involve?
The process includes a 30-minute initial call, a 45-minute skills interview with a presentation and Q&A, and a half-day paid in-person interview featuring culture and founder discussions.
What benefits are included?
Benefits include 25 days holiday plus bank holidays, an extra day for Christmas shutdown, enhanced parental leave, in-office lunches, salary sacrifice pension and nursery schemes, and an annual team retreat.