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Mistral AI

Open-weight LLMs and enterprise AI deployment

Applied AI Engineer - ML Infrastructure Engineer, DevOps

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Fluency in English.
  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 2 years of experience in a DevOps or Site Reliability Engineering role.
  • Experience deploying and managing AI-based products in production environments.
  • Fluency in Python.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Experience with CI/CD pipelines and automated deployment tools.
  • Deep understanding of cloud platforms such as AWS, Azure, and GCP, and on-premises infrastructure.
  • Experience with infrastructure as code tools such as Terraform or Ansible.
  • Strong communication skills and the ability to explain complex technical concepts simply to technical and non-technical audiences.

Responsibilities

  • Onboard customers on Mistral products, provide guidance on deployment and integration, and ensure an effective production setup spanning the low-level GPU stack, infrastructure, back-end, and front-end interfaces.
  • Deploy state-of-the-art AI applications for consumer products and industrial use cases in collaboration with customers.
  • Collaborate with researchers, AI engineers, and product engineers on complex customer projects involving deployment and scaling, and contribute to open-source codebases for inference and fine-tuning tasks.
  • Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations; provide technical guidance on Mistral products and explain Mistral technologies to stakeholders.
  • Work in small teams and own end-to-end execution of high-stakes projects.

Desired Qualifications

  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.
  • Familiarity with AI frameworks such as PyTorch or TensorFlow.
  • Contributions to open-source projects, particularly in DevOps or AI.

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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