Original listing text, shown exactly as published by the company.
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 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.
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.
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
