招聘
必备技能
Python
Go
C++
Rust
Backend development
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 Knowledge and Search engineering team. You will be responsible for designing, implementing and scaling our search capabilities supporting the needs of our users and internal systems.
🧢 Reporting line : VP of Engineering
📍 Location : Paris (France) or London (UK)
What you will do
Key Responsibilities:
The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.
Your responsibilities include (but may not be limited to):
- Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)
- Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval
- Owning our information retrieval systems serving both our internal needs as well as our enterprise customers
- Ensuring that our search capabilities meet the increasing demands of our customers
- Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.
About you
- 7+ years of relevant professional work experience
- Master’s degree in Computer Science, Information Technology or a related field
- Experience building and scaling distributed search engine systems
- Excellent proficiency in backend software development (Python, Go, C++, Rust...)
- Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)
- Good knowledge of cloud-native ecosystems
- Autonomous and self-starter
- Ability to communicate with influence
Now, it would be ideal if you had experience with:
- AI/ML engineering
Hiring Process
Here is what you should expect:
- Introduction call - 30 min
- Hiring Manager Interview - 30 min
- Live-coding Interview (Python) - 45 min
- System Design Interview - 45 min
- Optional: Deep Dive Interview (Staff/Lead specific) - 60 min
- Culture-fit discussion - 30 min
- References
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关于Mistral AI

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
员工数
Paris
总部位置
$6.0B
企业估值
评价
3.8
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
2.3
72%
推荐给朋友
优点
Supportive team environment
Good compensation and benefits
Innovative projects and cutting-edge technology
缺点
Poor management and lack of direction
Work-life balance issues and heavy workload
Fast-paced stressful environment
薪资范围
37个数据点
Senior/L5
Senior/L5 · Solution Architect
1份报告
$273,000
年薪总额
基本工资
$210,000
股票
-
奖金
-
$273,000
$273,000
面试经验
1次面试
难度
3.0
/ 5
时长
21-35周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Research Presentation
5
Team Matching
6
Offer
常见问题
Machine Learning/AI Algorithms
Research Experience
Technical Knowledge
Coding/Implementation
Behavioral/STAR
新闻动态
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