Teams at Magentic

Design and build scalable backend services and data pipelines in Python, deploy with Docker/Kubernetes, integrate enterprise systems (ERP, APIs, SFTP, event buses), process multi‑terabyte datasets, implement CI/CD and infra-as-code, ensure observability and reliability, and collaborate with customers and ML teams to deliver production enterprise features.

Work with large, messy enterprise datasets to apply LLMs and AI tooling, prototype AI-driven workflows, run large-scale analyses in Python/Jupyter, and collaborate with product and engineering to translate ambiguous operational problems into practical solutions.

This is an open application invitation: candidates express interest and the employer will contact them when a suitable role becomes available.