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Senior Software Engineer (Agentic AI) - Python

Оценка ИИ

Высокий балл обусловлен сильным брендом компании, социально значимой миссией и современным стеком технологий. Doctolib предлагает отличный социальный пакет и возможности для профессионального роста в сфере ИИ.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области Agentic AI и Python, а также умения работать на стыке инженерии и Data Science. Процесс отбора включает четыре этапа, включая системный дизайн и проверку рекомендаций.

Анализ зарплаты

Медиана75 000 €
Рынок65 000 € – 90 000 €
Оценка ИИ

Зарплата для Senior Python инженеров в Париже в сфере ИИ обычно выше среднего по рынку. Учитывая масштаб Doctolib, можно ожидать предложение в верхнем диапазоне рыночных оценок.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer (Agentic AI) position at Doctolib. With over 4 years of experience in software engineering and a deep focus on Python, I am excited about the opportunity to contribute to the AI Health Companion stream. My background in building robust production-grade systems aligns perfectly with your mission to provide patients with accurate and empathetic AI-powered health management tools.

In my previous roles, I have developed a strong proficiency in designing agentic systems and implementing complex reasoning orchestration. I am particularly impressed by Doctolib's commitment to 'privacy and security by design,' which I believe is paramount in the healthcare sector. I have extensive experience working alongside data scientists to build evaluation pipelines and safety guardrails, ensuring that AI solutions are not only innovative but also safe and reliable for end-users.

I am a product-oriented engineer who thrives in cross-functional environments. I look forward to the possibility of bringing my technical expertise in Python and my passion for healthcare innovation to your team in Paris. Thank you for considering my application.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в doctolib уже сейчас

Присоединяйтесь к Doctolib, чтобы создавать этичный ИИ, который реально помогает миллионам пациентов управлять своим здоровьем!

Описание вакансии

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.

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, 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 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

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 abroad 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
  • 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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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • A/B Testing
  • Python
  • Machine Learning
  • CI/CD
  • DevOps
  • System Design
  • Observability
  • Agentic AI

Возможные вопросы на собеседовании

Проверка опыта проектирования сложных ИИ-систем с автономными агентами.

Расскажите о вашем опыте проектирования и развертывания агентных систем (agentic systems) в продакшене. С какими основными трудностями вы столкнулись?

Важно для обеспечения безопасности медицинских данных и точности ответов.

Как бы вы спроектировали систему защитных барьеров (guardrails) для медицинского чат-бота, чтобы минимизировать риск галлюцинаций?

Оценка навыков работы с инфраструктурой и мониторингом ИИ-решений.

Какие метрики и инструменты обсервабильности вы считаете критически важными для мониторинга производительности LLM-агентов?

Проверка умения балансировать между скоростью разработки и качеством.

Опишите ситуацию, когда вам приходилось идти на технический компромисс ради бизнес-целей при разработке ИИ-продукта.

Проверка навыков командного взаимодействия и DevOps-практик.

Как вы организуете процесс CI/CD для проектов, включающих как традиционный код на Python, так и модели машинного обучения?

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