Back-end Engineer

The Role 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. 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. What You’ll Do - Design & build scalable, performant 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. You Might Be a Great Fit if You - Have 6+ 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. 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 £115,000 - £125,000 per annum - Visa sponsorship available - In-office lunches provided - Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues - Salary sacrifice pension and nursery schemes - Hybrid London HQ (3-4 days in the office/customer site) - Annual team retreat—a fully-funded off-site to recharge, bond, and build Our interview process We can move quickly through these stages, so let us know if you have any timelines we need to meet. - Initial call (30 mins): this first step is an opp