Senior AI Engineer (x/f/m) - Phone Assistant

What we do

What you'll do

• Design, ship, and operate production-grade agentic LLM systems that improve patient-practitioner interaction and streamline healthcare workflows
• Validate hypothesis with offline evaluation datasets and A/B tests on real traffic
• Partner with other machine learning teams to design and improve evaluation pipelines, security/safety guardrails, and metrics
• 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 that will reinvent the work of health professionals and improve people's health

About our tech environment

• Our solutions are built on a single, fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.
• 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!
• We also invest in open, applied AI research. For example, our DoctoBERT project introduces open-source medical language models trained for French clinical text, with applications in named entity recognition, classification, and retrieval. Read the DoctoBERT practical guide to learn more about how we bring deep AI research into practical healthcare applications.

Who you are

• You have 6+ years of experience as a software engineer, with significant experience using Python
• You have a track record of experience with the full lifecycle of an AI product at scale, from initial evaluation and launch to iterations based on results in production
• You understand and promote best practices related to the software development life cycle, such as automated testing, good use of CI/CD, and DevOps practices (you build it - you run it)
• You are product-oriented and comfortable guiding your teammates to suggest tradeoffs to balance business needs with technical constraints
• You are very focused on code quality and have a rigorous testing culture
• You are eager to share your knowledge and help the team grow by pair programming and mentoring
• You are comfortable speaking & writing in English in your day-to-day with the team

• Have experience with agentic systems in production
• Have experience in the medical domain

What we offer

• A Deutschlandticket (Germany-wide public transport pass) fully paid for by Doctolib
• 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days)
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Company health insurance with great supplementary benefits through our partner Allianz
• Company pension scheme (bAV) through Allianz with an employer subsidy
  of 40% (15% within the probationary period)
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• The Doctolib Parent Care program, which includes one month additional parental leave and much more
• Free mental health and coaching services through our partner Moka.care
• Subsidized sports membership through our partner Urban Sports Club
• A flexible workplace policy offering both hybrid and office-based mode
• Alongside healthy snacks and our regular breakfast buffet, we provide a subsidized meal benefit
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support

The interview process

• Recruiter Interview
• Feature Building Interview
• AI System Design Interview
• Behavioral Interview
• Reference check
• Offer!

Job details

• Full-time
• Location: Berlin
• Working mode: Hybrid
• Start date: as soon as possible