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Mistral AI

Open-weight LLMs and enterprise AI deployment

Backend Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listedIn-person

About the Job

Requirements

  • Experience designing and building scalable backend systems and APIs.
  • Experience with distributed systems and performance optimization.
  • Experience with system architecture and secure, scalable design.
  • Experience with modern backend frameworks and technologies.
  • Ability to write clean, maintainable, and well-documented code.
  • Strong problem-solving skills and ability to tackle complex engineering challenges.
  • Strong collaboration skills and ability to work with cross-functional teams.
  • Eagerness to learn, iterate, and deliver products.

Responsibilities

  • Design, develop, and maintain scalable backend features and APIs that power the AI platform.
  • Ensure high performance and reliability across distributed systems serving millions of users.
  • Build and improve systems for authentication, billing, AI tooling, and developer experience.
  • Design and implement secure, scalable architectures to support growing products.
  • Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
  • Write clean, maintainable, and well-documented code.
  • Partner with cross-functional teams to deliver end-to-end features.
  • Solve complex engineering challenges and integrate new technologies into production.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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