M

Mistral AI

Open-weight LLMs and enterprise AI deployment

Developer Relations Engineer

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • A Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Fluency in Python.
  • Familiarity with the artificial intelligence ecosystem and technology stacks including AI orchestration tools, vector databases, and agent frameworks.
  • Familiarity with PyTorch and Transformers architectures.
  • Proven experience working with artificial intelligence or machine learning projects and a solid understanding of the artificial intelligence landscape.
  • Strong communication skills with the ability to explain complex technical concepts in simple terms.
  • Demonstrated ability to manage projects and lead them to successful completion.
  • Ability to work collaboratively in a team environment.

Responsibilities

  • Develop documentation, tutorials, and sample code that enable developers to understand and use Mistral AI products and integrations.
  • Resolve community issues, provide answers, and guide users.
  • Lead developer-relations initiatives and develop programs to engage the community.
  • Organize and participate in community events centered around Mistral AI solutions.
  • Work with the AI community to develop and maintain integrations, ensuring compatibility and performance.
  • Stay informed about industry trends, best practices, and emerging AI technologies while continuously updating knowledge and skills.

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

Recently Posted Jobs

Explore more opportunities at Mistral AI

See more jobs