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About the role
WHAT WE DO
Join a team of passionate and hardworking entrepreneurs to transform healthcare!
Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.
WHAT YOU'LL DO
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
As a Senior AI Engineer, your mission will be to build and scale a new product in the Doctolib suite: our Phone Assistant, with the vision to revolutionize access to care for patients and day-to-day practice management for practitioners. This opportunity will allow you to leverage the latest technologies in AI, NLP, and speech recognition to build delightful user experiences and scale your product to millions of users.
Your responsibilities include but are not limited to:
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
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
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
Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!
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 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
Now, it would be fantastic if you:
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
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
