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Mistral AI

Research Engineer, Full Stack

  • Office
  • 0-3 years
  • English (C1)

Salary

Not stated

Similar roles pay $145K - 240K a year · our estimate

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Description

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

Responsibilities

  • Mistral is seeking Research Engineer - Full Stack to facilitate the adoption of its products among internal stakeholders and collaborate with them to address complex technical challenges.
  • Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI 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 our internal stakeholders, providing guidance and ensuring the best production integration with back-end and front-end interfaces.
  • Collaborate with our product and science team to continuously improve our product and model capabilities based on internal feedback.

Requirements

  • You are fluent in English
  • You hold a degree in Computer Science, Software Engineering, or a related field.
  • You have 2+ years as a technical individual contributor on cutting-edge technologies
  • You have strong technical coding skills in Python and TypeScript
  • You have experience with front-end frameworks such as React, NextJS, or VueJS.
  • You have experience with back-end technologies such as NodeJS.
  • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.
  • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
  • Ideally you have:
  • Experience with LLM/GenAI models
  • Contributed to open-source projects or libraries
  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

Benefits

  • We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
  • For the most up-to-date details on benefits available in your location, please refer to our Benefits page .
  • Privacy Policy
  • Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

Where you’d work

From the office

Relocation offered

About the company

Mistral AI

  • Industry: AI

Office in Palo Alto, United States

Also hiring in Paris, France, New York, United States, London, United Kingdom and 10 more places

8 of their 37 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 5 red flags

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13 checks

1 red flag

How crowded?

7 checks

4 red flags

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company, Requirements
Tech stack
  • React
  • TypeScript
  • Next.js
  • Node.js
  • Python
  • LLMs
Type
Full-time
Industry
AI
Specialty
ML
Region
United States
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
2+ years
Tech stack
  • React
  • TypeScript
  • Next.js
  • Node.js
  • Python
  • LLMs

Location

Work model
Office
Region
United States
Office
  • Palo Alto, United States
Relocation
Offered

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
AI

Requirements

Languages
  • English (C1)

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