Owkin - AI Engineer - Intern

• Onboard on Owkin’s agentic data pipelines, K ecosystem, and learn to manipulate Owkin’s proprietary biological datasets • Grasp a firm understanding of the data production pipeline, identify bottlenecks and potential improvements. • Address user feedback from multiple parties: internal biomedical team, pharma clients, students, researchers… to continuously increase the capacities of K, • Improve developer experience: Build manual workflows (documentation & make commands), continuous integration / delivery (CI / CD) workflows (github actions), orchestrated workflows (Airflow), dashboards (Grafana) in order to continuously elevate the engineering standards of the development of the product • manual workflows • (CI / CD) workflow • orchestrated workflows • Experiment innovative improvements and Proofs of Concept on a sub-component of the product. • At the end of the internship, we expect you to: • Make meaningful contributions to the codebase that directly impact the data production/integration into K, • Define and implement cross-modality complex agentic workflows involving biological data, • Write and review high-quality code respecting the industry standards (CI/CD workflows, linting, typing) • Master student or equivalent level (ideally end of study internship) • You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery. • Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds. • Clear and effective communicator who can translate technical complexity into actionable decisions for the team. • Proven track record of agentic AI or data engineering projects • Fluent English, both written and spoken. • Stack: Python, Airflow, Grafana, Github