Software Engineer, New Grad

We are seeking early-career software engineers (new graduates or up to 1–2 years of experience) to join our software engineering teams. As a Software Engineer, you’ll help build and improve the core systems powering our products (AI Studio, Applications), our operations (SRE, data, security...) and shape how users and developers interact with our AI platform at scale.

Depending on your skills and field of expertise, you will be involved in key components of our technology, including but not necessarily limited to:

Backend development - Contribute to the design and implementation of backend features and APIs using modern frameworks. - Help maintain and improve the performance, reliability and scalability of our services. - Support the development of systems powering authentication, billing, AI tooling, observability, connectors, search, developer experience, etc.

Frontend development - Design, develop, and maintain scalable and robust user-facing features (using TypeScript, React, Next.js) and ensure seamless integration between front-end and back-end systems using a modern stack. - Prioritize user experience and ensure that our products meet the needs and expectations of our user base.

System architecture & infrastructure - Learn how to design efficient, secure and scalable architectures under the guidance of more senior engineers. - Collaborate with infrastructure teams on deployment, monitoring and performance optimization. - Gain exposure to distributed systems and cloud-native concepts in a production environment.

Code quality & best practices - Write clean, readable and well-tested code. - Participate in code reviews, learning from feedback and contributing to team standards over time. - Help improve internal tools, documentation and developer workflows.

Cross-functional collaboration - Work with product managers, front-end engineers, designers and data/AI engineers to deliver end-to-end features. - Partner with teams across AI Studio, Le Chat and Mistral Code to ensure a consistent platform-wide experience. - Communicate clearly about progress, trade-offs and technical constraints.

Problem-solving & learning - Tackle real-world engineering problems, from performance bottlenecks to integrating new AI capabilities. - Stay curious about new technologies (e.g., AI/LLM integration, observability, backend frameworks) and experiment with them when relevant. - Take ownership of your learning path, with support from mentors and peers.

About you - You are about to graduate or recently graduated with a degree in Computer Science, Software Engineering or a related field, or you have equivalent hands-on experience. - You are proficient with at least one programming language such as Python, JavaScript/TypeScript, C++, Golang, etc. (for the coding assessment, you will be able to choose your preferred language). - You have a solid understanding of core computer science and system architecture fundamentals. - You have built software projects through internships, personal projects, open-source contributions or university work, and can talk about the design choices you made. - You enjoy solving problems, pay attention to detail and care about building reliable systems. - You are proactive, curious and willing to take ownership of small features end-to-end with guidance. - You communicate clearly, ask good questions and enjoy working in a collaborative, low-ego environment.

Now, it would be ideal if you had some exposure or interest in:

• Infrastructure topics (Docker, CI/CD, Kubernetes, Helm, Terraform…)
• AI/ML engineering or working with LLMs and related tooling
• Observability and monitoring tools (Prometheus, Grafana, Datadog…)
• UX and product-centric thinking: you care about how your work impacts users and developers