Magentic: Applied AI Engineer

We are looking for brilliant engineers to join our team at Magentic. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety.

About the Role

As an Applied AI engineer, you’ll be working on the most cutting-edge component of our product. Here, you’ll be working alongside the CTO to develop 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.

Tasks What You Will Do:

• Build and deploy agentic LLM workflows that automate supplier discovery, risk monitoring, cost analysis, and more.
• Lead end-to-end projects: 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.

Requirements You May Be a Good Fit if You:

• Have 2+ years of professional software engineering (we’ll consider much more senior applicants for a VP Engineering track).
• Are a strong coder in Python.
• Have deployed generative-AI or ML systems to production and understand evaluation, guard-railing, and monitoring.
• Have a deep understanding of the core technology behind language models.
• Having previously conducted and published research on large language models is an advantage.
• A Master’s or PhD degree in machine learning is advantageous but not required.
• Can communicate fluently with both technical and non-technical stakeholders and enjoy white-boarding with customers.
• Are capable of architecting and building complex systems from scratch.
• Are comfortable in fast-paced, dynamic environments.

Benefits Compensation and Benefits

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

• Competitive Salaries: We provide salary packages that reflect your expertise and experience.
• Competitive Equity: play a real part in Magentic’s upside.
• Visa sponsorship available; we prioritise UK-based candidates but welcome global talent.
• Hybrid London HQ (3-4 days in the office) with remote flexibility.
• Annual team retreat —a fully-funded off-site to recharge, bond, and build.

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. 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.

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.

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.