Full-Time

Applied AI Engineer – Senior/Staff Devops/SRE

Confirmed live in the last 24 hours

Mistral AI

Mistral AI

201-500 employees

Develops open-source large language models

No salary listed

Mid, Senior

Paris, France

In Person

The company has local offices in Paris, London, Marseille, and Singapore.

Category
DevOps & Infrastructure
Site Reliability Engineering
DevOps Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Docker
AWS
Terraform
Ansible
Development Operations (DevOps)
Google Cloud Platform
Requirements
  • Fluent in English
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 2+ years of experience in a DevOps or Site Reliability Engineering role
  • Experienced with deploying and managing AI-based products in production environments
  • Fluent 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 (AWS, Azure, GCP) and on-premises infrastructure
  • Experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
  • Strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences
Responsibilities
  • Onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces
  • Deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with customers a crucial technological transformation
  • Collaborating with researchers, other AI engineers, and product engineers on complex customer projects involving deployment, scaling, and contributing to open-source codebases for tasks such as inference and fine-tuning
  • Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on products and explaining Mistral technologies to various stakeholders
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 the space of DevOps or AI

Mistral AI develops open-source large language models (LLMs) for businesses to create AI-powered products and services. Their platform allows developers to access and customize these models, which include Mistral 7B and Mixtral 8x7B, designed for various natural language processing tasks. The company stands out from competitors by fostering a community of developers and researchers who contribute to the models' improvement. Mistral AI's goal is to provide efficient and powerful AI tools that enable innovation in the field of artificial intelligence.

Company Size

201-500

Company Stage

Debt Financing

Total Funding

$1.2B

Headquarters

Paris, France

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Nvidia positions Mistral AI to compete with AWS and Azure in Europe.
  • Magistral Small's open-source release under Apache 2.0 encourages widespread adoption and innovation.
  • Mistral Code targets enterprises with on-premise deployment, appealing to security-conscious companies.

What critics are saying

  • Skepticism exists around AI reasoning models' effectiveness, as highlighted by Apple's research.
  • Intense competition from OpenAI and DeepSeek challenges Mistral AI's market penetration.
  • Microsoft's safety ranking could impact Mistral AI's marketability if scores are low.

What makes Mistral AI unique

  • Mistral AI focuses on open-source large language models, fostering community collaboration.
  • The company offers models with Mixture of Experts architecture, enhancing efficiency and power.
  • Mistral AI's reasoning models can think in multiple languages, providing a unique market advantage.

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Benefits

Health Insurance

Company Equity

Parental Leave

401(k) Retirement Plan

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

1%

2 year growth

4%
AI Save World
Jun 12th, 2025
AI Industry Daily Update: AI Application Cases Across Various Industries ((2025-06-12))

Mistral AI, in collaboration with Nvidia, has launched an AI cloud platform targeted at Europe, aiming to compete with AWS and Azure.

PYMNTS
Jun 11th, 2025
Nvidia Ceo Rebuts Anthropic Ceo’S Dire Prediction Of Ai Taking Jobs

Dario Amodei reportedly made the comment last month, adding that he expects it to happen within one to five years. He also believes that it would raise the unemployment rate to 10% to 20%. The unemployment rate for May was 4.2%, according to the Bureau of Labor Statistics. During a private briefing with journalists and analysts at the VivaTech 2025 conference in Paris, a relaxed and candid Huang said it didn’t make sense to him that Amodei believes AI will take all these jobs and also imply that Anthropic should be the only one to develop AI. Also, Huang pointed out why it is illogical for Amodei to say AI can be dangerous

VentureBeat
Jun 10th, 2025
Mistral’S First Reasoning Model, Magistral, Launches With Large And Small Apache 2.0 Version

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more. European AI powerhouse Mistral today launched Magistral, a new family of large language models (LLMs) that marks the first from the company to enter the increasingly competitive space of “reasoning,” or models that take time to reflect on their thinking to catch errors and solve more complex tasks than basic text-based LLMs. The announcement features a strategic dual release: a powerful, proprietary Magistral Medium for enterprise clients, and, notably, a 24-billion parameter open-source version, Magistral Small.The latter release appears calculated to reinforce the company’s commitment to its foundational roots, following a period where it faced criticism for leaning into more closed, proprietary models such as its Medium 3 for enterprises, launched back in May 2025.A return to open source rootsIn a move that will undoubtedly be celebrated by developers and the wider AI community, Mistral is releasing Magistral Small under the permissive open source Apache 2.0 license.This is a crucial detail. Unlike more restrictive licenses, Apache 2.0 allows anyone to freely use, modify, and distribute the model’s source code, even for commercial purposes. This empowers startups and established companies alike to build and deploy their own applications on top of Mistral’s latest reasoning architecture without licensing fees or fear of vendor lock-in.This open approach is particularly significant given the context

Tech Startups
Jun 10th, 2025
French Ai Startup Mistral To Launch Ai Reasoning Model That Thinks In Multiple Languages

French AI startup Mistral on Tuesday announced it’s launching its first reasoning model to compete take rivals like OpenAI and China’s DeepSeek.Unlike the other reasoning models, Mistral’s new model will bring something fresh to the table that its competitors don’t have: the ability to think through problems in multiple languages.“We’re announcing in a couple of hours our new reasoning model, which is very much competitive with all the others and has the specificity of being able to reason in multiple languages,” CEO Arthur Mensch told CNBC in an interview during a fireside chat at London Tech Week.Mistral is launching its First Reasoning Model to Challenge OpenAI and DeepSeekThe launch puts Mistral head-to-head with some serious competition. OpenAI’s o1 model has been available to ChatGPT users since late last year, while DeepSeek’s R1 represents China’s entry into the reasoning model space. But Mistral thinks it has found a gap in the market.Reasoning models work differently from regular AI chatbots. Instead of just spitting out answers, they work through complex problems step by step, showing their logical thought process. Think of it like watching someone solve a math problem by writing out each step rather than just giving you the final answer.However, Apple’s latest research paper suggests that AI reasoning capabilities may not live up to the hype. The company’s researchers published a paper called “The Illusion of Thinking” that’s shaking up assumptions about these models

PYMNTS
Jun 8th, 2025
Microsoft Plans To Rank Ai Models By Safety

This effort is part of the tech giant’s effort to foster trust among its cloud customers as it sells them AI products from companies like OpenAI and xAI, the Financial Times (FT) reported Sunday (June 8). Sarah Bird, Microsoft’s head of Responsible AI, told the FT the company would soon add a “safety” category to its “model leaderboard,” a feature it created recently for developers to rank iterations from providers including China’s DeepSeek and France’s Mistral. The leaderboard, which is accessible to clients using the Azure Foundry developer platform, is expected to influence which AI models and applications are purchased via Microsoft