Senior Full-stack Software Engineer

🇫🇷 Paris, FR Presencial Tecnología Publicado Abr 9, 2026

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UbicaciónParis, FR

ModalidadPresencial

CategoríaTecnología

Categoría ITIngeniería Full Stack

IdiomaEnglish

Publicado9 de abril de 2026

Última verificación8 de mayo de 2026

About the company Raidium is building a foundation Model for precision medicine in radiology. Our first release, Curia is already state of the art. Our model is embedded in a new type of solution for the radiologist that enables a revolutionary AI-native workflow. Thanks to a 16M€ seed round raised in November 2024, Raidium is expanding its team. The team The founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields. Paul Herent, CEO, is a radiologist and former interne des hôpitaux de Paris, with a Cogmaster (ENS) and PSL background, and has published pioneering research on deep learning in radiology. Pierre Manceron, CTO, is a Centrale Paris engineer specialized in Applied Mathematics and Machine Learning, who previously led machine learning projects at Owkin. Sebastian Schwarz, COO, holds a double degree in X-HEC Data Science & Business, who previously worked as a Strategy & Operations Director at Owkin, where he developed Owkin’s strategic vision and operational agency. Our team brings together strong academic foundations (Polytechnique, Ponts, MVA) and deep medical, AI, and business experience from leading medical and tech companies such as Owkin, Cardiologs, Datadog, and Meta, all united by a mission to revolutionize radiology through cutting-edge technology. The role As a Full-stack Software engineer at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models. Design, implement, and maintain both front-end and back-end components of Raidium product, involving serving ML models and manipulating radiological images Collaborate with ML Engineers to integrate advanced ML/Deep Learning models into the platform, ensuring the system is highly accurate and efficient. Build the infrastructure and pipelines to support rapid growth in users and data volume without compromising performance. Enforce the best practices to ensure code quality and system soundness: automatic testing, linting, typing… You will work with the R&D team, composed of Software engineers and ML Engineers and you will be managed by Alexandre Blondin, our Lead Software Engineer.