Senior AI Engineer

# Senior AI Engineer
- Search & Recommendation
- Patient Team (x/f/m)Unlimited ContractEngineeringParis, FranceZu den Suchergebnissen## Über DoctolibBei Doctolib gestalten wir das Gesundheitswesen neu. Täglich vertrauen uns 570.000 Gesundheitsfachkräfte und über 90 Millionen Patient:innen, um ihre Arbeit besser zu machen und gesünder zu leben.
Mehr als 3.000 Doctoliber in Frankreich, Deutschland, Italien, UK und den Niederlanden bauen die nächste Generation von Health-Tech. KI ist dabei kein Add-on, sondern der Kern unseres Produkts und unserer DNA. Wir fördern eine Kultur, in der jede:r täglich mit KI arbeitet, um schneller und besser zu werden und echten Impact zu erzielen.## Stellenbeschreibung## Join our mission, join DoctolibWe are looking for a Senior AI Engineer to join the Patient team in Paris.The Patient domain sits at the heart of Doctolib's mission: ensuring everyone has better access to the care they need, receives better care from health professionals, and can actively prevent health problems to improve their wellbeing.
You’ll design the search and recommendation engines behind our health companion, helping 100M patients across Europe instantly navigate to the exact care they need while delivering trusted, curated insights at every step. The retrieval and recommendation architecture you own will directly shape how relevant, fast, and trustworthy that experience is for every one of them.
Your responsibilities include but are not limited to:
* Design and build the production search & recommendation architecture: full retrieval, ranking, reranking pipeline with standard and off-the-shelf components (vector search, semantic retrieval, LLM/managed rerankers).
* Establish strong baselines first (prompts, RAG, model selection) before reaching for custom ML.
* Build evaluation and observability into every stage, with offline and online evaluation.
* Set up the data/event feedback loops that drive iteration and feed deeper ML later.
* Improve search relevance and ranking on Patient facing products , raising result quality
* Own production quality: latency reliability, monitoring, and maintainability.
* Partner with ML Engineers and collaborate closely with PMs and SWEs to define, build, and ship AI-powered features that deliver measurable value to users and the business.## 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 could be our next team mate if you have:1. Production deployment: ability to ship algorithms to production (ECS-based service on AWS)2. Strong analytical mindset: result-oriented, patient-first approach3. Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production.4. Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR5. AI-engineering proficiency: turning foundation models and off-the-shelf components into production systems: embeddings & vector search, semantic retrieval, RAG, LLM-based or managed rerankers (e.g. Vertex AI). You can succeed without training a model from scratch6. Architecture-first approach: you build the system, baselines, evals, and feedback loops with standard tooling before reaching for custom ML, and know when to partner with ML Engineers to break a ceiling7. Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring8. Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainabilityNow, it would be fantastic if you:
* Experience at a B2C marketplace (e-commerce, hospitality, travel)
* Additional ML methodologies: pattern mining, recommendation systems, experimentation, or causal inference* Have experience with search engines or information retrieval concepts
* Have exposure to learning-to-rank or feature engineering (for breaking ceilings later, alongside ML Engineers)
* Have experience in a healthcare or other regulated domain (GDPR / HDS)## 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.
* We also invest in open, applied AI research. For example, our DoctoBERT project introduces open-source medical language models trained for French clinical text, with applications in named entity recognition, classification, and retrieval. Read the DoctoBERT practical guide to learn more abou