Senior Ai Engineer - Patient Health Platform Job at Doctolib (Paris)

Job Description

We are looking for a Senior AI Engineer to join the Patient Health Platform team in Paris. The Patient domain is at the heart of Doctolib's mission to help everyone be in better health. Our teams build the Health Companion that millions of people rely on every day - a seamless, AI-powered experience that empowers patients to take an active role in their own health journey.

Job Responsibility

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.

Requirements

Production deployment: ability to ship algorithms to production (ECS-based service on AWS)
Strong analytical mindset: result-oriented, patient-first approach
Significant experience as a Software or/and AI engineer shipping search or recommendation systems to production
Hands-on experience building end-to-end retrieval: ranking, reranking pipelines and familiar with nDCG, MAP, Recall@k, MRR
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 scratch
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 ceiling
Evaluation & observability built into every stage (retrieval, ranker, reranker) — offline and online eval, A/B testing, position-bias handling, monitoring
Production deployment — ability to ship reliable, low-latency services to production (hundreds-of-ms SLAs), with care for data quality and long-term maintainability

Nice to have

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)

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 from abroad for up to 10 days per year thanks to our flexibility days policy
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
A subsidy from the work council to refund part of the membership to a sport club or a creative class
50% reimbursement of your public transport subscription
Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
Parent Care Program: receive one additional month of leave on top of the legal parental leave
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

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Senior Ai Engineer - Patient Health Platform

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