Mistral AI의 뉴욕 팀에서 백엔드 엔지니어를 채용합니다. Python 또는 Golang 등 백엔드 언어에 능숙하며, 분산 시스템 및 API 설계 경험이 필수입니다. AI Studio와 같은 핵심 제품의 확장 가능한 시스템을 구축하고, 고성능 백엔드 아키텍처를 설계하는 역할을 수행합니다. 주도적인 문제 해결 능력과 협업 마인드를 갖춘 엔지니어를 찾습니다.
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.
We are seeking passionate and skilled software engineers to join our new team in NYC. 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 from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.
Depending on your skills and field of expertise, you will be involved in key components of our technology, including:
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 inference, billing, AI tooling, observability, and developer experience.
Design and implement efficient, secure and scalable architectures that support our fast-growing products.
Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
Write clean, maintainable and well-documented code.
Participate in code reviews and contribute to technical standards and best practices.
Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.
Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience.
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.
• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in Python or another backend language (Golang, Kotlin, C#). 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:
• Full-stack exposure
• Working closely with an API & developer ecosystem
• Deploying software to a diverse set of environments (cloud, on-premises, etc.)
• 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 - 30 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
