Senior AI Data Engineer (x/f/m)

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.

You'll be a great fit if you:

• You have 7+ years of experience in Data Engineering, ideally supporting AI or ML workloads
• You have strong experience with the GCP data ecosystem and proficiency in Python and SQL
• You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
• You have experience designing data architectures for RAG, embeddings, or model training pipelines
• You have knowledge of data governance, security, and compliance for sensitive or regulated data
• You are fluent in English

It would be fantastic if you:

• You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field
• You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning
• You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

Our interview process

• Recruiter Interview
• AI Coding Interview
• System Design Interview
• Behavioral Interview
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML
• Full-time
• Paris
• Hybrid work setup (up to 2 remote days per week)
• Start date: as soon as possible

We welcome everyone

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, or 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!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.