Applied AI Engineer (LLM Specific)

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 supply chains and procurement.

As an Applied AI engineer, 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 regularly pushing the envelope with new models, new frameworks, and new paradigms. You will ship production-grade AI solutions to Fortune 500 procurement and supply chain teams, and you will completely transform the way these teams work.

What You Will Do:

• Build and deploy agentic LLM workflows that automate supplier discovery, risk monitoring, cost analysis, and more.
• Lead projects end-to-end: architecture, modelling, coding, DevOps, rollout, and customer training.
• Develop new agentic frameworks to handle safe and robust multi-agent collaboration
• Develop LLM benchmarking across domains of performance, safety and behavioural monitoring.
• Build tooling to connect LLMs to APIs & middleware, connecting our AI services to customer systems (SAP, Oracle, Coupa, custom APIs).
• Collaborate directly with executives & operators to refine requirements, demo prototypes, and align on value.

This role may be a good fit for you if you:

• Can demonstrate knowledge of software engineering best practices - 5+ years of professional software engineering experience
• Are a strong coder in Python.
• Have a solid understanding of computational fundamentals - a bachelors' degree in Computer Science or a Master’s in Machine Learning (or equivalent experience)
• Have a deep understanding of the core technology behind language models
  • either via academic study/work or hands-on experience deploying LLM systems in production.
• Can communicate fluently with both technical and non-technical stakeholders.
• Are capable of architecting and building complex systems from scratch.
• Are comfortable in fast-paced, dynamic environments.

This role is unlikely to be a fit for you if:

• Your experience is largely in data engineering or ML research.

Compensation and Benefits

At Magentic, we recognise and reward the talent that drives our success. We offer:

• Competitive Equity: play a real part in Magentic’s upside.
• A salary of £125,000-£135,000
• Visa sponsorship (Note we are currently only accepting candidates who are currently UK-based)
• Hybrid London HQ (3-4 days in the office).
• Annual team retreat—a fully-funded off-site to recharge, bond, and build.

Our interview Process

We run a lightweight interview process of three stages. These are:

1. Initial candidate screening (30 mins): this first step is an opportunity for us to learn more about your experience aligns with the role.
2. Design interview with the CTO (45 mins): in this step, we present you with real problems Magentic encounters, and we ask you to design a solution in a whiteboarding exercise.
3. In-person interview (half-day, paid): for the final step, we invite you to come meet the team in-person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like.

About Magentic

At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. We bring expertise from OpenAI, NASA, and McKinsey, and we’re backed by the best venture funds in the world.

We can’t wait to have you on board.

Magentic Equal Opportunities Statement

Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.

We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs.

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.