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Mistral AI

Open-weight LLMs and enterprise AI deployment

Research Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Have 5 or more years of successful experience in a similar developer experience, DevOps, or site reliability engineering role.
  • Be proficient in software development, including Python or Go, and programming best practices.
  • Have exposure to site reliability engineering practices, including root cause analysis, in-production troubleshooting, and on-call rotations.
  • Have exposure to infrastructure management, including continuous integration and continuous delivery, containerization, orchestration, infrastructure as code, monitoring, logging, alerting, and observability.
  • Have a technical product mindset, including understanding how to debug poor adoption.
  • Have problem-solving and communication skills, including the ability to contextualize, gauge risks, and get buy-in for high-stakes, impactful solutions.
  • Demonstrate ownership, high agency, a commitment to learning, and a focus on improving things for others.
  • Be autonomous, self-driven, and able to work well in a fast-paced startup environment.
  • Demonstrate a low-ego, team-oriented mindset.

Responsibilities

  • Design and implement complex systems, including scaling research continuous integration with a strong focus on reliability, reproducibility, and speed.
  • Build flexible, solid, and accessible development environments for researchers so they can focus on their core mission.
  • Design, implement, and advocate for solutions addressing large amounts of data and maintainable data pipelines.
  • Optimize builds, including container images, large-library compilation times, and Python environments.
  • Build strong relationships with researchers, understand their workflows, and enable them to achieve more by leveraging technical expertise.
  • Communicate and produce documentation or other content that helps researchers make the most of the tools and systems built.
  • Help platformize research and continually improve researchers' daily experience while avoiding future roadblocks.

Desired Qualifications

  • Have firsthand experience with Bazel or an equivalent tool.
  • Have strong knowledge of the Python ecosystem.
  • Be familiar with GPU-based workloads and ecosystems.
  • Have experience with fully remote environments and be comfortable supporting users across the globe.

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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