Job Description

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. 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.



Forward-Deployed Engineers sit at the intersection of product, engineering, and customer success. You'll own full-stack features end-to-end, with a focus on building for enterprise data requirements. You will collaborate closely with customer teams to architect and implement sophisticated data pipelines and APIs, directly fueling our cutting-edge agentic AI with terabytes of real-world supply chain data. You will be instrumental in shaping solutions for enterprise clients, all while learning and growing your AI skills in a truly AI-first company at the forefront of agentic systems.



Tasks



What You'll Do



Design & build scalable backend services and data pipelines - written in Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems--enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets--model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced workloads Develop enterprise-level next generation AI systems with the support of Magentic's AI specialists Ship complete customer features--from architecture and code to CI/CD, infra-as-code (Terraform), rollout, and user training. Collaborate directly with executives & operators--run white-boarding sessions, turn ambiguous requirements into concrete specs, demo weekly, and iterate fast. Champion observability & reliability--instrument services with OpenTelemetry, define SLIs/SLOs, and automate incident response. Contribute across the stack--build lightweight front-ends when needed and pair with ML engineers on inference and evaluation pipelines.

Requirements



You Might Be a Great Fit if You



Have 4+ years of professional software-engineering experience. Are fluent in Python and comfortable in TypeScript/JavaScript. Have built and operated data-intensive systems (batch & streaming) in a cloud environment (AWS, GCP, or Azure). Know your way around relational, columnar, and KV/graph databases--and when to use which. Have integrated with real-world enterprise stacks--authentication, SSO, legacy ERPs, message queues, ETL tools. Can take a loosely defined problem, sketch an architecture, and deliver a production-ready solution in weeks, not months. Communicate clearly with both engineers and business stakeholders; you enjoy hopping on a customer call to debug an API contract. Thrive in an early-stage, high-ownership environment--prototype today, deploy tomorrow, iterate next week.

Bonus Points



Experience deploying or consuming LLM-powered services (OpenAI, open-source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience. Familiarity with supply-chain, procurement, or manufacturing domains.

Benefits



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 120,000-130,000 Visa sponsorship (Note we are only accepting candidates who are currently based in the UK.) 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.

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 goals, interests, and how they align 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.