채용
필수 스킬
Python
Backend development
APIs
Databases
Distributed systems
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 passionate and skilled software engineers to join our team. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers at all levels from fresh graduates to senior and staff engineers and who are eager to learn, collaborate and ship impactful products.
What you will do
Depending on your skills and field of expertise, you will be involved in key components of our technology, including:
- Backend Development
- Design, develop and maintain scalable, robust backend features and APIs using modern frameworks.
- Ensure high performance and reliability across our distributed systems.
- Contribute to systems powering authentication, billing, AI tooling, observability, connectors, and developer experience.
- System Architecture
- Design and implement efficient, secure and scalable architectures that support our fast-growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Code Quality
- Write clean, maintainable and well-documented code.
- Participate in code reviews and contribute to technical standards and best practices.
- Cross-functional Collaboration
- Work closely with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features.
- Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
- Problem-Solving & Innovation
- Tackle complex engineering challenges, from distributed systems to AI product integration.
- Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.
About you
- Degree in Computer Science, Software Engineering, or equivalent practical experience.
- Proficiency in Python or another backend language (JavaScript/TypeScript, C#, Golang). Engineers are assessed in their preferred language during a live coding session.
- Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures.
- Strong problem-solving abilities and attention to detail.
- Ownership mindset capable of shipping end-to-end features with minimal oversight.
- Excellent communication skills and collaborative attitude.
- Team-oriented, low-ego mindset and curiosity for learning.
Now, it would be ideal if you had experience with:
- Front-end development (Typescript, React, NextJS...) or full-stack exposure
- Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...)
- AI/ML engineering
- Observability and monitoring tools (Prometheus, Grafana, Datadog…).
- UX and product-centric mindset.
Hiring Process
- Introduction call - 45 min
- Live-coding interview - 45 min
- System Design interview - 45 min
- Hiring Manager interview - 30 min
- Deep Dive Interview (only for leads & staff engineers) - 60 min
- Culture-fit discussion - 30 min
- Reference checks
Our Culture
We're driven to build a strong company culture and are looking for individuals with solid alignment with the following:
- Reason with rigor
- Are you audacious enough?
- Make our customers succeed
- Ship early and accelerate
- Leave your ego aside
Engineering blog
Our first Engineering blog post is live, you can check it out here !
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Mistral AI 소개

Mistral AI
Series BMistral AI is a French artificial intelligence company that develops and provides large language models and AI solutions. The company focuses on creating efficient and powerful AI models for various applications.
51-200
직원 수
Paris
본사 위치
$6.0B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
2.5
보상
4.0
문화
4.2
커리어
3.5
경영진
2.3
72%
친구에게 추천
장점
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
단점
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
연봉 정보
37개 데이터
Senior/L5
Senior/L5 · Solution Architect
1개 리포트
$273,000
총 연봉
기본급
$210,000
주식
-
보너스
-
$273,000
$273,000
면접 경험
1개 면접
난이도
3.0
/ 5
소요 기간
21-35주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
자주 나오는 질문
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
뉴스 & 버즈
Generative AI Platforms - Trend Hunter
Trend Hunter
News
·
5d ago
How France’s Mistral Built A $14 Billion AI Empire By Not Being American - Forbes
Forbes
News
·
5d ago
Connect the dots: Build with built-in and custom MCPs in Studio - Mistral AI
Mistral AI
News
·
6d ago
The OpenAI / TBPN Audit: Why Anthropic’s Next Acquisition Should Be a Regulatory Network
https://preview.redd.it/q7ltkacfu2tg1.jpg?width=3000&format=pjpg&auto=webp&s=261ce6e7090baf84297a882ffa5b7e62f0d09955 # Forensic Audit: OpenAI’s TBPN Acquisition, the Enterprise Trust Gap, and the Dawn of Regulatory Media **Listen to audio at** [**https://enoumen.substack.com/p/the-openai-tbpn-audit-why-anthropics**](https://enoumen.substack.com/p/the-openai-tbpn-audit-why-anthropics) OpenAI just spent hundreds of millions to buy the Silicon Valley narrative. It’s a brilliant cons
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2w ago
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