Senior Backend Engineer (Python) - Station F - Paris

Job description

À propos

Since our founding in 2019, Trayvisor has been at the forefront of artificial intelligence applied to catering restaurants. Our innovations include:

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Self-Checkout API : Reducing wait times through deep learning for an optimal customer experience.

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API for Healthcare Facilities : Precise analysis of patient intake, fighting malnutrition in the medical field.

We are growing rapidly and are looking to strengthen our technical team with a passionate Backend Engineer .

Descriptif du poste

As a Senior Backend Engineer (Python) , you will play a key role in developing and enhancing our API to power AI-driven solutions. Working closely with the frontend engineer, DevOps, and machine learning engineers, you will design and implement scalable, high-performance backend systems. Your contributions will directly impact the user experience and the efficiency of our platform.

Your Responsibilities:

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Design, develop, and maintain high-quality APIs and backend systems using Python (FastAPI).

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Collaborate with the frontend engineer to ensure seamless integration between the frontend and backend.

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Work alongside the DevOps team to optimize backend performance and deployment processes.

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Integrate machine learning models developed by the ML team into the backend infrastructure.

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Write clean, maintainable, and well-documented code following best practices.

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Participate in code reviews to ensure code quality and knowledge sharing.

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Contribute to system architecture discussions and propose innovative solutions.

Why Join Us?

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Innovation : Work in a growing and innovative company.

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Professional Development : Numerous opportunities for professional and career development.

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Flexibility : Full remote work is possible or in our offices in Paris.

Profil recherché

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5+ years of experience in backend development with Python.

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Expertise in FastAPI or similar frameworks for API development.

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Familiarity with asynchronous programming paradigms (e.g., asyncio).

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Strong knowledge of PostgreSQL and database optimization.

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Solid understanding of software development principles, including testing and debugging.

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Knowledge or experience with distributed task queues / workflow orchestrators such as Celery, Ray and Prefect

Nice to have:

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Experience in integrating machine learning models into production environments.

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Knowledge of performance monitoring tools and optimization techniques.

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Familiarity with cloud platforms (GCP / AWS) and containerization tools like Docker.

Process de recrutement

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Initial Chat : 30-45 minutes with a member of our team.

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Technical Test : Show us your skills.

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Technical Interview : In-depth discussion about your skills and experience.

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Final Chat : Last step before final validation.

Informations complémentaires

· Type de contrat : CDI
· Lieu : Paris
· Niveau d'études : Bac +5 / Master
· Expérience : > 3 ans
· Télétravail partiel possible