Job Specifications
About Mistral
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.
Role summary
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. You will work closely with experienced engineers who will support your growth.
We welcome applications from freshly graduated engineers who are eager to learn, collaborate and ship impactful products in a fast-moving environment.
What you will do
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
We know that not everyone will m