Senior AI Engineer — Architect of Healthcare AI Assistants

Doctolib

Nantes

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Free comprehensive health insurance
ParentCare program
Mental health support
Flexible remote policy days
RTT days
Lunch vouchers
Transport reimbursement
DoctoGrowth equity plan
Relocation support

Job summary

Doctolib is seeking a Senior AI Engineer to join the Customer Care Contact team in the Business Performance domain in Nantes, France. You will build AI-powered tools for Doctolib Assistant to help doctors and medical staff, from answering complex medical questions to automating administrative tasks with safety and reliability.

You'll collaborate with data scientists and software engineers to design production-grade AI systems, ensure observability, and focus on privacy and security for medical

Qualifications

  • 4+ years of experience as a software engineer with hands-on experience in AI/ML systems.
  • 2+ years of experience working with Python.
  • Experience through full lifecycle of an AI product from evaluation to production iterations.
  • Familiarity with automated testing, CI/CD, and DevOps practices.

Responsibilities

  • Design, ship, and operate production-grade agentic systems powering Doctolib Assistant.
  • Build and improve AI agents and orchestration systems.
  • Collaborate with data scientists to design evaluation pipelines, guardrails, and metrics; own operational AI projects.

Skills

AI/ML systems
Python
Fullstack development
React/TypeScript/Kotlin
Software engineering
English communication

Tools

Rails
TypeScript
Java
Python
Kotlin
Swift
React Native

Job description

Doctolib is seeking a Senior AI Engineer to join the Customer Care Contact team in the Business Performance domain in Nantes, France. You will build AI-powered tools for Doctolib Assistant to help doctors and medical staff, from answering complex medical questions to automating administrative tasks with safety and reliability.

You'll collaborate with data scientists and software engineers to design production-grade AI systems, ensure observability, and focus on privacy and security for medical

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