
Leading company in the artificial intelligence industry
Applied AI Engineer, Senior/Staff Devops/SRE - EMEA
Benefits and perks
•Equity
•Healthcare
•Gym Membership
•Commuter Benefits
•Parental Leave
Required skills
Python
Docker
Kubernetes
CI/CD
Terraform
Ansible
AWS
Azure
GCP
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
About The Job:
Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!
Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.
What you will do
- You’ll be responsible for 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.
- You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning.
- You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
About you
- You are fluent in English
- You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- You have 2+ years of experience in a Dev
Ops or Site Reliability Engineering role:
- You're experienced with deploying and managing AI-based products in production environments
- You are fluent in Python
- You have experience with containerization technologies such as Docker and Kubernetes
- You have experience with CI/CD pipelines and automated deployment tools
- You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
- You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
- You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences
Ideally you have:
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
- Familiarity with AI frameworks such as Py Torch or Tensor Flow
- Contributions to open-source projects, particularly in the space of Dev
Ops or AI:
Benefits:
We have local offices in Paris, London, Marseille and Singapore.
France
💰 Competitive cash salary and equity
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gympass subscription
🚴 Transportation : Monthly contribution to a mobility pass
🧑⚕️ Health : Full health insurance for you and your family
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship
UK
💰 Competitive cash salary and equity
🚑 Insurance
🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport
🥎 Sport: 90GBP/month reimbursement for gym membership
🥕 Meal voucher: £200 monthly allowance for its meals
💰 Pension plan: Smart Pension (percentages are 5% Employee & 3% Employer)
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About Mistral AI

Mistral AI
Series BMistral AI SAS is a French artificial intelligence (AI) company, headquartered in Paris. Founded in 2023, it has open-weight large language models (LLMs), with both open-source and proprietary AI models. As of 2025 the company has a valuation of more than US$14 billion.
51-200
Employees
Paris
Headquarters
$6.0B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
2.8
Compensation
4.0
Culture
4.2
Career
3.5
Management
2.5
72%
Recommend to a friend
Pros
Supportive team and collaborative environment
Good learning opportunities and mentorship programs
Excellent benefits and competitive compensation
Cons
Poor management and lack of leadership direction
Work-life balance issues and heavy workload
High stress environment and burnout
Salary Ranges
36 data points
Senior/L5
Senior/L5 · Solution Architect
1 reports
$273,000
total per year
Base
$210,000
Stock
-
Bonus
-
$273,000
$273,000
Interview experience
1 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Discussion
5
Team Matching
6
Offer
Common questions
Machine Learning/AI Concepts
Research Experience
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Latest updates
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