Your Impact
We are looking for a Senior AI Engineer to join the Customer Care Contact team in the Business Performance domain.
Your mission will be to build AI-powered tools that revolutionize how healthcare professionals deliver care. You will work on Doctolib Assistant, our AI personal assistant designed to assist doctors and medical staff in their daily work—from answering complex medical questions to automating administrative tasks with accuracy, reliability, and safety.
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 build
Your responsibilities include but are not limited to:
- Design, ship, and operate production-grade agentic systems powering Doctolib Assistant, our AI personal assistant that addresses key challenges for healthcare professionals
- Build and improve AI agents and our orchestration systems
- Partner with data scientists to design and implement evaluation pipelines, security/safety guardrails, and metrics—while taking ownership of operational AI projects as data science teams focus on exploratory research
- Develop and maintain core agentic capabilities including memory, reasoning orchestration, tool adapters, and multi-agent coordination, ensuring strong observability, fallback mechanisms, and fail-safe behaviors
- Own performance, observability and security: monitoring dashboards, SLO/SLI, and security posture
- Ensure privacy and security by design, with a particular focus on medical data sensitivity
- Contribute to fullstack development when needed to deliver end-to-end features for healthcare professionals
What you'll bring
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:
- Have 4+ years of experience as a software engineer, with hands-on experience in AI/ML systems
- Have 2+ years of experience working with Python
- Have gone through the full lifecycle of an AI product, from initial evaluation and launch to iterations based on results in production
- Understand and promote best practices related to the software development life cycle such as automated testing, good use of CI/CD, and DevOps practices
- Are comfortable with fullstack development and not afraid to dive into React/TypeScript/Kotlin to ship end-to-end features
- Are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
- Are comfortable speaking and writing in English in your day-to-day work with the team
It would be fantastic if you:
- Have experience building multi-agent systems or agent development frameworks
- Have worked on AI products for enterprise/professional users
- Have experience in the medical domain or healthcare tech
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.
What we offer
- Free comprehensive health insurance for you and your children
- Parent Care Program: receive additional leave on top of the legal parental leave
- Free mental health and coaching services through our partner Moka.care
- For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
- Work from abroad for up to 10 days per year, thanks to our flexibility days policy
- Up to 14 days of RTT
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
- Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
- 50% reimbursement of your public transport subscription
- Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
- Relocation support in case of international mobility
- Access to the best AI tools for coding, development and dedicated training
Our interview process
- Recruiter Interview
- Coding Interview
- System Design Interview (with focus on AI systems architecture)
- Behavioral Interview
- At least one reference check
Job details
- Permanent position
- Full-time
- Location: Nantes, France
- 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!