Senior Software Engineer (Agentic AI) - Python

Your Impact

We are looking for a Senior Software Engineer to join the AI Health Companion stream within the Patient domain. Your mission will be to transform the Doctolib app into a full health companion powered by AI, helping patients manage their health with accuracy, empathy, and safety. You will work in a feature team developing an AI-powered chat built to answer patients' questions about their or their loved ones' health.

What you'll build

• Design, ship, and operate production-grade agentic systems that answer key health challenges for patients
• Partner with data scientists to design and implement evaluation pipelines, security/safety guardrails, and metrics
• Validate hypotheses quickly with offline evaluation datasets and A/B tests on real traffic
• Develop and maintain core agentic capabilities including memory, reasoning orchestration, and tool adapters, ensuring strong observability, fallback mechanisms, and fail-safe behaviors
• Own performance, observability and security: monitoring dashboards, SLO/SLI, security posture
• Ensure privacy and security by design
• Contribute to cross-functional initiatives that shape Doctolib's future AI platform and best practices in building agentic systems

What you'll bring

• 4+ years of experience as a software engineer, with at least one significant experience using Python
• 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 product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
• Have the ability to adapt to the most efficient technologies to solve issues
• Are comfortable speaking and writing in English in your day to day with the team

It would be fantastic if you:

• Have experience with traditional ML or agentic systems in production
• Have experience in the medical domain

Job details

Permanent position. Tech stack: Python. Full-time. Paris, France.