Magentic

AI

Back-endEngineer

£85–120k ~AI est. London, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Back-end Engineer at Magentic. Skills: Backend services, Data pipelines, Agentic AI. Design scalable backend services. Build scalable backend services”

What You'll Achieve.

Make supply chains robust; Harness generative AI potential; Maximise AI benefits; Prioritise ethical AI use; Prioritise AI safety

Industry & Context.

AI
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

6+ years of professional software-engineering experience, Fluent in Python, Comfortable in TypeScript/JavaScript, Built and operated data-intensive systems, Integrated with real-world enterprise stacks, Can sketch an architecture, Deliver a production-ready solution, Communicate clearly with engineers and business, Enjoy debugging an API contract, Thrive in an early-stage, high-ownership environment

Nice to Have

Experience deploying LLM-powered services, Experience consuming LLM-powered services, Familiarity with supply-chain domains, Familiarity with procurement domains, Familiarity with manufacturing domains

What You'll Do.

Design scalable backend services

Build scalable backend services

Design data pipelines

Integrate with enterprise ecosystems

Wrangle large datasets

Model enterprise datasets

Transform enterprise datasets

Index enterprise datasets

Ship customer features

Automate incident response

Build lightweight front-ends

Pair with ML engineers

How You'll Work.

Team & Collaboration

Customer teams; AI specialists; Executives and operators; Cross-functional teams

Communication Scope

Customer calls; White-boarding sessions

Process & Methodology

Infra-as-code, CI/CD

Full Job Description

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

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