Software Engineer

Who you are

• 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
• 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

What the job involves

• 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
• 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
• 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
• 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
• 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

The application 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

Benefits

• Competitive bonus structure
• Equity
• Opportunities for professional growth and development