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SeniorГибридПолная занятость

Senior AI Agent Engineer

Оценка ИИ

Отличная вакансия в компании-единороге (Next40) на острие технологий (Agentic Commerce). Четкий стек, сильная команда и работа над продуктом мирового уровня делают это предложение крайне привлекательным для Senior специалистов.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием глубоких знаний в узкой нише AI-агентов (LangGraph, MCP) и необходимостью сочетать навыки Data Science с сильной программной инженерией. Также требуется свободное владение английским и французским языками.

Анализ зарплаты

Медиана85 000 €
Рынок75 000 € – 105 000 €
Оценка ИИ

Предлагаемая роль Senior AI Engineer в Париже соответствует верхнему сегменту рынка. Учитывая статус компании и сложность стека, можно ожидать зарплату выше среднего по региону для опытных инженеров.

Сопроводительное письмо

I am writing to express my strong interest in the Senior AI Agent Engineer position at Mirakl. With over 6 years of experience in Machine Learning and a deep focus on building agentic systems using LangChain and LangGraph, I am excited by Mirakl's vision of 'Agentic Commerce'. My background in deploying production-grade RAG systems and my proficiency in Python align perfectly with your mission to transform how customers interact with products through AI-powered agents.

In my previous roles, I have successfully bridged the gap between Data Science and Software Engineering, ensuring that AI models are not just prototypes but scalable, monitored, and efficient solutions. I am particularly impressed by Mirakl's commitment to innovation and its dual headquarters structure. I am eager to bring my expertise in LLM orchestration and architectural design to the Data team in Paris and contribute to the evolution of the Mirakl Nexus infrastructure.

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Присоединяйтесь к лидерам Agentic Commerce и создавайте будущее ритейла вместе с Mirakl!

Описание вакансии

About Mirakl:

Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.

Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).

With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways.

For more information: www.mirakl.com.

Mirakl in Numbers:

  • 🗓️ Founded in 2012 | Member of French Tech Next40
  • 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
  • 🇫🇷 350+ Mirakl Tech teams members mainly based in France
  • ⚙️ 5 Saas Solutions

Our Values:

Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.

Our 5 values guide how we collaborate:

  • 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
  • 🏆 Get Things Done:  We prioritize action and efficiency for impactful results
  • 🚀 Go Above & Beyond:  We tackle challenges proactively and always aim for excellence
  • 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
  • 🤝 Satisfy & Empower Clients: We're committed to our clients' success

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI), based in Paris or Bordeaux with :

  • 4 days onsite per week
  • 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

  • Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
  • Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG)
  • Own the full lifecycle from initial design through MVP delivery and successive iterations
  • Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have

  • You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
  • Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
  • Production deployment expertise - you've shipped AI solutions in production
  • Strong proficiency in Python
  • Curiosity and continuous learning - you stay current with AI/ML trends and love exploring new technologies
  • Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process

  • A 30-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
  • An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
  • A 90-minute technical review and discussion with a manager from the Data Science team
  • 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations..

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.

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Навыки

  • Python
  • TensorFlow
  • PyTorch
  • Databricks
  • Spark
  • AWS
  • SQL
  • Airflow
  • Delta Lake
  • LangChain
  • LangGraph
  • LangFlow
  • LLM
  • RAG
  • Machine Learning

Возможные вопросы на собеседовании

Проверка практического опыта работы с современными фреймворками для создания агентов.

Можете ли вы описать архитектуру самого сложного AI-агента, которого вы разработали с использованием LangGraph или LangChain? С какими проблемами зацикливания или управления состоянием вы столкнулись?

Оценка навыков оптимизации и качества ответов LLM.

Какие стратегии вы используете для уменьшения галлюцинаций и улучшения точности в RAG-системах при работе с большими каталогами товаров?

Проверка инженерной зрелости и понимания жизненного цикла продукта.

Как вы организуете процесс тестирования и оценки (evaluation) AI-агентов перед деплоем в продакшн? Какие метрики для вас приоритетны?

Оценка понимания концепции Agentic Commerce, упомянутой в вакансии.

Как, по вашему мнению, автономные агенты изменят пользовательский опыт в e-commerce в ближайшие 2 года, и какие технические барьеры нам нужно преодолеть первыми?

Проверка навыков работы с данными в экосистеме компании.

Имеете ли вы опыт работы с Databricks и Spark для подготовки данных для обучения или дообучения LLM?

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