Staff Applied AI Software Engineer (Python) - Patient (x/f/m)
DoctolibParis, Paris, FrancePosted 30 March 2026
Job Description
Your Impact
We are looking for a Staff Software Engineer to join 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.
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 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, and 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
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 6+ years of experience as a software engineer, with at least one significant experience using Python
Have gone through the full lifecycle of an AI product at scale, 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 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 the ability to adapt to the most efficient technologies to solve issues
Have experience with agentic systems in production
Have experience in the medical domain
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 .
Want to learn more about our tech culture and environment? Visit the Doctolib Tech site .
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 EU countries and the UK 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
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
Behavioral Interview
At least one reference check
We want yo ... (truncated, view full listing at source)
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