Jobs 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.

As a Product Designer, you'll create intuitive interfaces for AI applications, collaborate with users and engineers, and evolve the design system.

The Front-end Engineer will develop user-facing features, collaborate with teams, maintain a design system, and adapt tools to solve user problems efficiently.

As a Front-end Engineer, you will develop user-facing features, implement AI interaction patterns, and collaborate with cross-functional teams to enhance product impact.

As a Forward Deployed Engineer, you will collaborate with customers to analyze data and shape product development based on insights, while building strong relationships in the manufacturing sector.

As the first Growth Marketer, you'll collaborate with founders to find ideal customers, run growth experiments, and create messaging for Magentic's AI procurement platform.

As Deployment Strategist, you'll manage customer engagements, analyze data, drive product direction, and collaborate with senior stakeholders to ensure successful deployments.