Jobs at Doctolib

The Senior AI Engineer will build AI-powered tools to assist healthcare professionals, working on Doctolib Assistant to enhance care delivery and automate tasks.

Lead development and scaling of Customer Operations processes focused on Customer Care. Define KPIs and dashboards, run data-driven analyses, design AI-enabled workflows and automation, drive process improvements, manage budget and capacity planning, and collaborate with stakeholders to improve service quality and customer satisfaction.

Build and operate fullstack interoperability solutions connecting Doctolib to German national health services and EHRs. Design architectures, implement integrations (TI, eRezept, QES, GDT), ensure security, compliance, observability, and partner with cross-functional teams for multi-country rollouts.

Design and train deep learning models that represent patient health across structured records, clinical text, and multimodal signals. Research temporal, causal, calibration, uncertainty, and evaluation methods; publish results; collaborate with data science and product teams to convert research into clinical-grade features, benchmarks, and open-source releases. Help define the lab's research agenda and engage the ML and health communities.

Build and ship backend features for Doctolib's healthcare platform: design robust JVM-based services, drive architectural decisions, integrate partner systems, champion AI-assisted development, promote testing and resiliency, and collaborate across product, design, and engineering teams.

The Senior Software Engineer will design and maintain a Web and Mobile Design System using React and React Native, drive convergence between platforms, ensure accessibility, mentor team members, and improve developer experience through tooling and automation.

The Staff DataOps Engineer will design and implement data infrastructure strategies, optimize data pipelines, and provide technical guidance across teams to enhance data-driven initiatives.

Design, implement, and scale evaluation frameworks and automated pipelines to monitor safety, reliability, and alignment of agentic LLM systems. Define metrics, run experiments assessing reasoning, factuality and robustness, collaborate with model developers and clinicians, and drive iterative improvement and internal knowledge sharing.

Ensure platform reliability, scalability, and observability at European scale. Build and maintain infrastructure-as-code, define SLOs/error budgets, lead cross-cutting reliability initiatives, improve incident detection/response, participate in on-call rotation, and partner with product and engineering teams to embed reliability practices.

Lead platform reliability initiatives at scale: build and maintain IaC and automation, design reliability and observability components, define SLOs/SLIs and alerting, drive incident response and on-call improvements, and partner with product and engineering teams to embed reliability practices across 170+ applications.

Join Doctolib's Clinical DOPE team to design and implement fullstack features for prescription lifecycle, collaborate with product and design, ensure performance, security, and testability, integrate external drug databases, and improve medication alerting across France and Germany.

Build fullstack features impacting millions by collaborating with product, design, and engineering. Design and implement performant, secure, well-tested solutions across React and JVM-based services, contribute to architecture, mentor teammates, and adopt AI-assisted development workflows to improve delivery and reliability.

Design, build, and operate Doctolib's Medical Knowledge Platform: end-to-end indexing and retrieval for clinical AI. Implement large-scale vector search, embeddings, custom re-rankers, query processing, RAG systems, and retrieval evaluation to ground AI decisions in validated medical sources and meet strict latency and throughput requirements.

Design and build full‑stack features using React and JVM technologies to improve healthcare products. Collaborate with PMs and designers, ensure performance, security, and test coverage, review code, and help evolve architecture and engineering standards.

The Senior Site Reliability Engineer will lead observability strategy, enhance incident response, and improve platform reliability for healthcare professionals.

The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.

The Engineering Manager will lead the Reliability & Observability team, drive observability strategy, manage crucial services, and ensure operational excellence in Doctolib's platform engineering.

The Workday Solutions Architect will lead the evolution of HR technology, drive architecture, and coach project managers for seamless HR experiences.

The Workplace Experience Lead manages office services and compliance, coordinates events, oversees budget and supplier relations, and ensures a safe, efficient work environment.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.