--- title: 'Senior AI Engineer - Patient Team (x/f/m) at Doctolib' canonical: 'https://feeny.ai/job/senior-ai-engineer-patient-team-x-f-m-doctolib-paris-vzvxmpw6ck00' type: 'job' last_seen: '2026-09-11' --- # Senior AI Engineer - Patient Team (x/f/m) at Doctolib - **Company:** [Doctolib](https://feeny.ai/companies/doctolib) - **Location:** Paris, France - **Employment:** contract - **Work type:** hybrid - **Posted:** 2026-07-03 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/doctolib/852ecbc4-15b2-4a0d-954a-64074bf34445 ## Job description Join our mission, join Doctolib! We 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: - 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 Now, 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](https://careers.doctolib.com/ai-careers/). - 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](https://huggingface.co/blog/hugging-science/doctobert-cookbook#introduction) to learn more about how we bring deep AI research into practical healthcare applications. Want to learn more about our tech culture and environment? Visit the [Doctolib Tech site](https://careers.doctolib.com/tech-doctolib/). ## 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 - ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave, and 75% during the second, covered by Doctolib - For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support The interview process - A first interview with a member of the Talent Acquisition team - A coding interview - An agentics system design - A behavioural interview - Reference check Job details - Permanent position - Full Time - Workplace: Levallois - Start date : As soon as possible 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: [Germany](https://doctolib.legal/B2C-Privacy-Policy-Career-DE) l [France](https://doctolib.legal/B2C-Privacy-Policy-Career-FR) l [Italy](https://doctolib.legal/B2C-Privacy-Policy-Career-IT) l [Netherlands](https://doctolib.legal/B2C-Privacy-Policy-Career-COM). Please contact hr.dataprivacy(at)doctolib.com to exercise your rights. ## About Doctolib ## Company Overview - **One-liner**: Doctolib builds digital healthcare solutions for health professionals and patients, including appointment booking, telemedicine, EHR, and AI-powered clinical assistants. - **Entity Type**: Private (Series E; $816M total funding) - **Headquarters**: Levallois‑Perret, France - **Founded**: 2013 - **Founders**: Not publicly listed (the company was founded by a team including Stanislas Niox‑Chateau, but the profile attributes it to a founding group; official sources do not emphasise individual founder names – likely Roman Schué, Stanislas Niox‑Chateau, and others) ## Core Business - **Primary industry**: Healthcare Technology / Healthtech - **Target customers**: B2B (healthcare professionals, hospitals, clinics) and B2C (patients); primary markets in France, Germany, Italy, and the Netherlands - **Mission/purpose**: “Build together the healthcare we all dream of” – a purpose‑driven company (société à mission) with seven social objectives including improving care teams’ quality of life, facilitating access to care, and developing prevention. ## Products & Services - **Appointment Booking & Calendar Management**: 24/7 online booking, waitlist, reminders, delays, and calendar optimisation. Used by 420,000+ health professionals and 90M+ patients. - **Clinical & Financial Suite (EHR)**: Electronic health records, document management, secure messaging, prescribing, billing engine, and insurance processing. Includes “Doctolib Médecin” for GPs and “Doctolib Kiné” for physiotherapists. - **AI Assistants**: - *AI Consultation Assistant*: Real‑time structured transcription and documentation (supported 5M consultations). - *AI Phone Assistant*: Handles booking and patient messaging 24/7. - *AI Health Assistant* (in Health Companion): Answers health questions, provides coaching, and guides care journeys. - **Health Companion**: Patient app for prevention campaigns, early detection, personalised guidance, video consultations, and care‑journey tracking. - **Practice Efficiency & Patient Acquisition**: Tools for patient base management, recalls/notifications, practice analytics, CRM integrations, and marketing visibility. - **Cooperative Care (Siilo)**: Secure messaging, case management, and referral platform enabling care coordination across professionals (merger with Siilo in 2023). - **Financial Solutions**: Simplifies complex billing and insurance workflows for healthcare professionals. - **Tailor‑made Service & Advisory**: Custom support and advisory for healthcare institutions. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company; total funding $816M) - **Key Metric**: Annual Revenue ~€257.6M (most recent available). Total funding $816M (Series E of $170.3M led by General Atlantic in March 2019, with prior rounds from Accel, Eurazeo, Bpifrance, etc.) - **Notable Investors/Partners**: General Atlantic, Accel, Eurazeo, Bpifrance, and others. Partners include public hospitals (AP‑HP) and the French government (vaccination campaign support). - **Growth Signals**: - 90M+ patients and 420,000+ health professionals across Europe. - 2,900+ employees (up from 2,618 reported earlier). - Tech & Product team of 900+ engineers. - 15M online appointments booked per month in France alone, half outside office hours. - B Corp certification (goal achieved by 2024). - Expansion into Italy (2021) and Netherlands (via Siilo merger 2023). - AI adoption: AI Consultation Assistant supporting 5M consultations. ## Competitive Advantages - **Deep Healthcare Specialisation**: Over a decade of domain expertise; solutions meet highest clinical standards (ISO 27001, HDS certified). - **Localised Approach**: Products adapted to each country’s regulations, languages, and specialties while maintaining a unified platform. - **Ecosystem Lock‑in**: Integrated suite covering scheduling, EHR, billing, telemedicine, AI, and care coordination – creating a one‑stop shop for professionals. - **Scale & Network Effects**: Large patient base (80–90M) drives adoption by professionals, which in turn attracts more patients. - **AI‑First Innovation**: Research lab partnered with top tech and clinical institutions; deploying AI for documentation, decision support, and patient engagement. - **Purpose & Trust**: Certified B Corp and French “société à mission” with annual independent audits, reinforcing trust with users and regulators. ## Strategic Focus - **AI‐Powered Efficiency**: Scaling AI assistants to reduce administrative burden (targeting 4.5 hours saved per week per GP). - **International Expansion**: Deepening footprint in Germany, Italy, and the Netherlands while maintaining leadership in France. - **Real‑World Impact**: Focus on prevention, early detection, and continuous care (Health Companion). - **Platform Consolidation**: Integrating care cooperation (Siilo) and financial solutions to create a seamless end‑to‑end experience. - **Talent & Culture**: Growing tech team, investing in AI research, and reinforcing mission‑driven culture to attract top engineering and product talent. ## Why Work Here - **Purpose & Mission**: B Corp certified, purpose‑driven company with a clear social impact (improving healthcare access and quality of life for care teams). - **Tech Scale & Challenge**: Build platform used by millions, work with 900+ tech peers on cloud‑native (AWS), mobile, AI, and security at scale. - **Learning & Development**: Doctolib Academy for onboarding; continuous training in AI tools, soft skills, and leadership; transparent internal mobility. - **Benefits**: - Health insurance 100% paid for you and children. - 25 vacation days + up to 14 RTT days/year. - Parent Care Program: one additional month of leave beyond legal parental leave. - Free mental health coaching via Moka.care. - Gym (on‑site in Paris) with group classes. - Flexible workplace: hybrid or office‑based; work from EU/UK up to 10 days/year. - Subsidised sports/creative class membership. - Lunch vouchers (Swile card). - Solidarity Days (2 days/year for health charities). - **Work Environment**: Transparent internal mobility, support for new managers, diversity & inclusion initiatives, and a strong emphasis on collaboration with healthcare professionals. - **Locations**: Paris, Nantes, Berlin, Milan, Amsterdam, and other EU cities. ## Sources 1. [careers.doctolib.com](https://careers.doctolib.com/) – Careers page with benefits, culture, and product descriptions. 2. [linkedin.com/company/doctolib](https://www.linkedin.com/company/doctolib) – Company details, financials, workforce, and reviews. 3. [careers.doctolib.com/tech-doctolib/](https://careers.doctolib.com/tech-doctolib/) – Tech team overview, AI and product details. 4. [media.doctolib.com](https://media.doctolib.com/image/upload/mkg/file/impact_report_en_digital.pdf) – 2024 Impact Report with detailed mission, impact metrics, and business model. ## Other roles at Doctolib - [Lead Product Manager - Patient Data Collection (x/f/m)](https://feeny.ai/job/lead-product-manager-patient-data-collection-x-f-m-doctolib-paris-5v42gk6fz7x2) — Paris, France - [Platform Security Engineer (x/f/m)](https://feeny.ai/job/platform-security-engineer-x-f-m-doctolib-paris-vgz413s0hyyn) — Paris, France - [Sales Executive im Außendienst (x/f/m)](https://feeny.ai/job/sales-executive-im-au-endienst-x-f-m-doctolib-wuppertal-18nbesx525nv) — Wuppertal, Germany - [Product Support Manager (x/f/m)](https://feeny.ai/job/product-support-manager-x-f-m-doctolib-nantes-vc38cb3kw9qe) — Nantes, France - [CDD - Accounts Payable / AP Senior Analyst (x/f/m)](https://feeny.ai/job/cdd-accounts-payable-ap-senior-analyst-x-f-m-doctolib-paris-0jgprxndx0pp) — Paris, France - [Software Engineer - Java (x/f/m)](https://feeny.ai/job/software-engineer-java-x-f-m-doctolib-bologna-snj35p7bmf6p) — Bologna, Italy - [Software Engineer - Java (x/f/m)](https://feeny.ai/job/software-engineer-java-x-f-m-doctolib-milan-pzp8bx3mspse) — Milan, Italy - [Sales Manager (x/f/m)](https://feeny.ai/job/sales-manager-x-f-m-doctolib-osnabruck-5606feped6em) — Osnabrück, Germany - [Senior Lead Product Strategy (x/f/m)](https://feeny.ai/job/senior-lead-product-strategy-x-f-m-doctolib-berlin-bfrxw43df99q) — Berlin, Germany - [Senior AI Specialist (Operations) (x/f/m)](https://feeny.ai/job/senior-ai-specialist-operations-x-f-m-doctolib-berlin-3sst6s4dtevp) — Berlin, Germany