Senior AI Data Engineer (x/f/m)

Doctolib·Paris, Parissenior

In short

→Construyes infraestructura de datos para IA médica en GCP con enfoque en LLM, VLM y RAG.
→Trabajas con datos de pacientes y modelos de inteligencia artificial para mejorar el cuidado sanitario en Europa.
→Destaca por trabajar en un producto que impacta a 80 millones de pacientes y 400 mil profesionales de salud.

Fluent English required for collaboration with international teams.

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The questions they'll ask you

1. ¿Cómo diseñarías un pipeline de ingestion para datos clínicos sensibles en GCP con baja latencia y alta disponibilidad?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia sólida en construcción de pipelines de datos escalables en GCP.
✓Conocimiento avanzado de LLM, VLM y sistemas RAG.
✓Experiencia con bases de datos NoSQL y vectoriales para embeddings.
✓Capacidad para colaborar con equipos de ML y plataformas.
✓Conocimiento en gestión de datos sanitarios y cumplimiento (GDPR, etc.).
✓Experiencia en diseño de esquemas de datos y particionamiento eficiente.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Google Cloud Platform (GCP)BigQueryDataflowPub/SubCloud StorageVertex AIPostgreSQLMongoDBPineconeLangChain

Who should you write to at Doctolib?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Your Impact We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion . Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems , ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll do Your responsibilities include but are not limited to: • Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases • Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models • Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently • Collaborate with ML and platform teams to define data schemas, partitioning str

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