Senior AI Data Engineer (x/f/m)

What you’ll do

At Doctolib, we're on a mission to transform healthcare through the power of AI. As a Senior Data Engineer, you'll play a key role in building and optimizing the data foundations within the AI Team to deliver safe, scalable, and impactful models.

You will join a dedicated team working on data infrastructure for LLM, VLM and RAG-based systems, powering our new AI Medical Companion.

Your work will ensure that our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data.

Your responsibilities include but are not limited to

Ensure high standards of data quality for AI model inputs.

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 strategies, and governance rules that ensure privacy, scalability, and reliability.

Integrate unstructured and structured data sources (text, speech,image, documents, metadata) into unified data models ready for AI consumption.

Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).

Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets.

Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment.

Who you are

You could be our next teammate if you have

Master’s or Ph.D. degree in Computer Science, Data Engineering, or a related field.

5+ years of experience in Data Engineering, ideally supporting AI or ML workloads.

Strong experience with the GCP