Job Opportunities API

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 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 Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if you: You have  5+ 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 . What we offer Free comprehensive health insurance (basic package) for you and your children 25 days of paid vacation per year, plus up to 14 days of RTT Free mental health and coaching services through our partner Moka.care Work f