Software Engineer Backend
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build, maintain, and improve scalable backend features and APIs for AI products. You will design secure distributed architectures, optimize performance and reliability, write maintainable code, participate in reviews, and collaborate to deliver model-as-a-service solutions.
Requirements
- Proficiency in Python or another backend language such as Golang, Kotlin, or C#
- Understanding of APIs, databases, caching, messaging systems, and distributed architectures
- Problem-solving skills and attention to detail
- Ability to ship end-to-end features with minimal oversight
- Communication and collaboration skills
Responsibilities
- Design, develop, and maintain scalable backend features and APIs
- Ensure high performance and reliability across distributed systems
- Contribute to systems for inference, billing, AI tooling, observability, and developer experience
- Design and implement secure, scalable architectures
- Collaborate on deployment, monitoring, and performance optimization
- Write clean, maintainable, well-documented code
- Participate in code reviews and technical standards
- Collaborate to deliver scalable model-as-a-service solutions
- Solve distributed-systems and AI-integration challenges
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
Hiring Process
Introduction call (30 min) → live-coding interview (45 min) → system design interview (45 min) → hiring manager interview (30 min) → deep dive interview for leads and staff engineers (60 min) → culture-fit discussion (30 min) → reference checks
