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Staff Applied AI Software Engineer (Python) - Patient (x/f/m)
Отличная позиция в одной из ведущих health-tech компаний Европы с сильной инженерной культурой, современным стеком и социально значимым продуктом. Предлагается расширенный пакет льгот, включая медицинскую страховку и поддержку ментального здоровья.
Сложность вакансии
Роль уровня Staff требует не только глубоких знаний Python и AI-агентов, но и опыта проектирования сложных систем (System Design), а также умения работать с метриками и безопасностью данных в медицине. Процесс отбора включает многоэтапные технические интервью и проверку рекомендаций.
Анализ зарплаты
Зарплата для Staff-позиций в Париже обычно начинается от 90-100к евро и может достигать 130к+ в зависимости от опыта и бонусов. Doctolib — топовый работодатель, поэтому их предложение, скорее всего, находится в верхнем дециле рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Applied AI Software Engineer position at Doctolib. With over 6 years of experience in software engineering and a proven track record of deploying AI products at scale, I am excited by the opportunity to help transform the Doctolib app into a comprehensive health companion. My background in building production-grade Python systems and my focus on agentic orchestration align perfectly with your mission to provide accurate and empathetic AI-driven support for patients.
In my previous roles, I have navigated the full lifecycle of AI products, from designing evaluation pipelines to implementing robust security guardrails. I am particularly impressed by Doctolib's commitment to ethical AI and 'privacy by design.' I am eager to bring my expertise in reasoning orchestration and tool adapters to your feature team, ensuring that the AI-powered chat remains safe, reliable, and highly performant for users across Europe.
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Присоединяйтесь к Doctolib, чтобы создавать этичный ИИ, который реально помогает миллионам пациентов управлять своим здоровьем.
Описание вакансии
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 your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.
Job details
- Permanent position
- Tech stack: Python
- Full-time
- Location: Paris, France
- Start date: as soon as possible
We welcome everyone
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, or 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!
Your data privacy
All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
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Навыки
- TypeScript
- Python
- LLM
- CI/CD
- DevOps
- Swift
- Ruby on Rails
- React Native
- Kotlin
- Java
- Agentic Systems
Возможные вопросы на собеседовании
Для позиции Staff важно понимать, как кандидат обеспечивает надежность LLM в продакшене.
Как бы вы спроектировали систему защитных барьеров (guardrails) для медицинского чат-бота, чтобы минимизировать риск галлюцинаций?
Вакансия делает упор на 'agentic systems'.
Опишите ваш опыт реализации механизмов памяти и рассуждения (reasoning) в агентных системах. Какие трейд-оффы вы учитывали?
Проверка навыков системного проектирования и масштабирования.
Как обеспечить наблюдаемость (observability) и отладку сложных цепочек вызовов LLM при высокой нагрузке?
В Doctolib важна работа с данными и гипотезами.
Расскажите, как вы организовывали процесс офлайн-оценки (evaluation pipelines) для AI-моделей перед их деплоем.
Оценка лидерских качеств и продуктового мышления.
Приведите пример, когда вам приходилось убеждать команду или бизнес выбрать менее 'хайповое', но более надежное техническое решение.
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