← All jobs · Mistral AI

Software Engineer, DevOps, Research Platform

Mistral AI ·
51
AI-Agency
B62 U35
📍 Paris, FR 🌐 Remote/hybrid 🛂 Visa sponsor available Senior 5+ yrs
PythonGoBazelKubernetesDockerCICDGPU
TL;DR

DevOps/Platform Engineer at Mistral AI building cloud-agnostic research infrastructure. Focus on CI/CD, containerization, data pipelines, and developer experience for ML researchers.

Apply at Mistral AI →
share:
you'll be redirected to the company's career page

Job description

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.
 
Role Summary 
 
We are seeking a talented and experienced software engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters.
 
Reporting line: Research Engineering, Platform Lead
Location: 🇫🇷 🇬🇧
 
What you will do
 
As a DevOps/Platform Engineer, your responsibilities will include (but may not be limited to):
 
Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed)
Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission.
Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines.
Optimizing a variety of builds: container images, large libraries compilation times, python environments...
Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise.
Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build.
Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks.
 
About you
 
5+ years of successful experience in a similar DX / DevOps / SRE role.
Proficiency in software development (Python, Go...) and programming best practices.
Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...)
Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...).
Technical product mindset (e.g. understanding how to debug poor adoption).
Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions).
Ownership, high agency and constantly seeking to learn and improving things for others.
• Autonomous, self-driven and able to work well in a fast-paced startup environment.
• Low ego and team spirit mindset.
 
Your application will be all the more interesting if you also have:
• First hand Bazel (or equivalent) experience.
• Strong knowledge of Python's ecosystem.
• Familiarity with GPU based workloads and ecosystems.
• Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).
 
Hiring Process
 
• Intro Call - 30 min
• Tech Culture Interview - 30 min
• Technical Rounds - 2 x 45 min
• Culture-fit Discussion - 30 min
• Reference Calls
 
 
By applying, you agree to our Applicant Privacy Policy.
 
Location & Remote
 
This role is primarily based at one of our European offices (Paris, France and London, UK). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team.
 
In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office:
•  for the first week of their onboarding (accommodation and travelling covered)
•  then at least 3 days per month
 
What we offer
 
💰 Competitive salary and equity
🧑‍⚕️ Health insurance
🚴 Transportation allowance
🥎 Sport allowance
🥕 Meal vouchers
💰 Private pension plan
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship
 
By applying, you agree to our Applicant Privacy Policy.
Apply at Mistral AI →

More open roles at Mistral AI

Mistral AI ⚡ AI-native · 🔄 synced 3h ago
Applied Scientist / Research Engineer - Singapore
📍 Singapore, SG 🛠 AI tools welcome at work · Senior
Applied Scientist / Research Engineer at Mistral AI building state-of-the-art models across text, image, and speech modalities. Focus on pre-training, post-training, data curation, and deploying models on large GPU clusters.
PyTorchJAXPython
91
AI-core
Mistral AI ⚡ AI-native · 🔄 synced 3h ago
Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal
📍 Montreal, CA 🛠 AI tools welcome at work · Lead
Technical Lead, Applied AI at Mistral AI leading teams to deploy complex AI solutions for enterprise customers. Hands-on role combining IC coding with team mentorship, pre-sales technical guidance, and RAG/agentic system design.
PythonPyTorchLangChainHugging FaceAWSGCP
85
AI-core
Mistral AI ⚡ AI-native · 🔄 synced 3h ago
Applied AI, Technical Lead - Forward Deployed AI Engineer
📍 New York, US 🛂 Visa sponsor 🛠 AI tools welcome at work · Lead
Technical Lead, Applied AI at Mistral AI leading teams to deploy enterprise AI solutions. Hands-on role combining IC coding with team leadership on fine-tuning, RAG, and agentic systems.
PythonPyTorchLangChainHugging FaceAWSGCP
85
AI-core
Mistral AI ⚡ AI-native · 🔄 synced 3h ago
AI Scientist - Robotics
📍 Paris, FR 🛂 Visa sponsor · Senior
AI Scientist at Mistral AI researching and developing novel methods for mobile manipulation robots. Focus on building training and evaluation infrastructure for AI models at scale, with hands-on deployment on physical robot platforms.
PythonPyTorchVision-Language ModelsRobotics
85
AI-core
Mistral AI ⚡ AI-native · 🔄 synced 3h ago
Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA
📍 Paris, FR · Lead
Technical Lead, Applied AI at Mistral AI leading teams to deploy complex AI solutions for enterprise customers. Hands-on role combining IC coding with team mentorship, pre-sales technical guidance, and oversight of fine-tuning, RAG, and agentic workflows.
PythonPyTorchLangChainHugging FaceAWSGCP
85
AI-core