- Location
- Paris, Paris, France
- Type
- Contract
- Department
- Engineering
- Seniority
- Senior
- Experience
- 5+ years
- Education
- PhD
- Source
- Greenhouse
Description
What you’ll do
At Doctolib, we're on a mission to transform healthcare through the power of AI. As a Senior Data Engineer AI, 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 data ecosystem
- Proficiency in Python and SQL, with experience in data pipeline orchestration (e.g., Airflow, Dagster, Cloud Composer).
- Deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search).
- Experience designing data architectures for RAG, embeddings, or model training pipelines.
- Knowledge of data governance, security, and compliance for sensitive or regulated data.
- Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning (extract snapshots, change tracking, reproducibility).
- Familiarity with (Docker, Kubernetes) and CI/CD for data workflows.containerized environments
- A collaborative mindset and passion for building the data foundations of next-generation AI systems.
What we offer
- Free comprehensive health insurance for you and your children
- Parent Care Program: additional leave on top of the legal parental leave
- Free mental health and coaching services through our partner Moka.care
- For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
- Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
- Work Council subsidy to refund part of a sport club membership or a creative class
- Up to 14 days of RTT
- Lunch voucher with Swile card
The interview process
- Recruiter Interview
- Feature Building Interview
- System Design Interview
- Behavioral Interview
- At least one reference check
Job details
- Permanent position
- Full-time
- Paris, France
- Hyrbid mode: 2 days remote per week
- Start date: as soon as possible
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
