Applied AI Engineer (LLM Specific)

Magentic

  • London
  • £125,000-135,000 per year
  • Permanent
  • Full-time
  • 11 days ago
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).We are looking for brilliant AI Engineers to join our team at Magentic. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We’re focusing on a three trillion dollar market of supply chains and procurement.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 RoleAs 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.TasksWhat 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.
RequirementsFor this, role, we require that you:
  • Have 2 + years of professional software engineering
  • Are a strong coder in Python.
  • Have deployed LLM systems to production and understand evaluation, guard-railing, and monitoring.
  • Have a Master’s or PhD degree in machine learning or computer science
  • Have a deep understanding of the core technology behind language models. Having previously conducted and published research on large language models is an an advantage here
  • 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
BenefitsCompensation and BenefitsAt 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 ProcessWe run a lightweight interview process of three stages. These are: * Initial candidate screening (30 mins): this first step is an opportunity for us to learn more about your goals, interests, and how they align with the role.
  • 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.
  • 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 MagenticAt 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 StatementMagentic 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 DisabilitiesMagentic 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.MagenticWe’re building autonomous teammates for the supply chain and procurement teams that keep the world moving.Supply‑chain and procurement teams run on grit and spreadsheets. Their days disappear inside labyrinthine ERP systems, while price shocks, regulatory twists, and sustainability targets pile on. We’ve felt that grind first‑hand, and we knew there had to be a better way.Supply chains are the hidden engines of our world—complex, fragile, and too often overlooked until they break. We started Magentic when the world ran out of the medications that kept our families alive. That crisis drove us to build a technology that doesn’t just keep up—it stays miles ahead.

Magentic