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Mistral AI

Open-weight LLMs and enterprise AI deployment

Research Engineer - Full Stack

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • Fluency in English.
  • A degree in Computer Science, Software Engineering, or a related field.
  • At least 2 years of experience as a technical individual contributor working with cutting-edge technologies.
  • Strong coding skills in Python and TypeScript.
  • Experience with front-end frameworks such as React, NextJS, or VueJS.
  • Experience with back-end technologies such as NodeJS.
  • A solid understanding of software development principles, including design patterns, data structures, and algorithms.
  • Strong communication skills and the ability to explain complex technical concepts to technical and non-technical audiences.

Responsibilities

  • Collaborate closely with researchers, artificial intelligence engineers, and product engineers on complex customer projects, integrating artificial intelligence models into clients’ software products.
  • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.
  • Develop complex use cases with internal stakeholders, providing guidance and ensuring the best production integration with back-end and front-end interfaces.
  • Collaborate with the product and science team to continuously improve product and model capabilities based on internal feedback.

Desired Qualifications

  • Experience with large language model or generative artificial intelligence models.
  • Contributions to open-source projects or libraries.
  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager.

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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