Senior AI Engineer (x/f/m)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

Required From the posting source checked Jun 20, 2026

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior AI Engineer (x/f/m) Nantes 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

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