Back-end Engineer

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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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