Forward-Deployed Software Engineer - Remote

Overview

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.

In Short

• 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

• 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.

Benefits

• 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.