About the role
About us Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster. Position is based in our Paris office. Please submit your CV in English
About
the role: As a AI Engineer Intern, you will contribute to build the data pipelines fuelling the leading Agentic AI product for biomedical researchers by optimising workflows, integrate new biological datasets, and develop new features within
the team. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data. This role requires integrating in a multi-disciplinary team (Software Engineers, Data Engineers, MLEngineers, Data Scientists) working on Owkin’s agentic product: K: Multimodal Context team.
The team is responsible for providing the right information to the orchestration through tool calling. The internship is expected to involve contributions across these different expertises in various parts of the product. The internship will be supervised by a dedicated member of
the team and the whole team will ensure to set it up for success. In particular, you will: 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) workflow s (github actions), orchestrated workflows (Airflow), dashboards (Grafana) in order to continuously elevate the engineering standards of the development of the product 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) About you 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