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Mistral AI

Engineering & AI Opportunities

Paris · Full-time

Series D · $3.5B · 62d ago Posted 7d ago
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Why join Mistral AI?

The prize is every government, bank and hospital that wants frontier AI without handing its data to someone else's cloud, and Mistral AI, a Paris open-weight AI lab, is positioned to supply it. If sovereign AI becomes a procurement rule, the company could end up inside many public institutions. A $3.5B Series D backed by NVIDIA and Bpifrance, with $7.5B raised across nine rounds, puts real money behind 212 open roles.

JustBacked's take, based on Mistral AI's own site and its funding and hiring data.

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

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 Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

Discover Engineering & AI Opportunities

Are you passionate about building, optimizing, and deploying complex systems? Ready to push the boundaries of what’s possible in AI and infrastructure? Join us at Mistral as we shape the future of AI technology together!

 

We’re seeking talented recent graduates to join our teams as:

  • Software Engineers

  • Site Reliability Engineers (SRE)

  • DevOps Engineers

  • Release Engineers

  • AI Deployment Strategist

  • Applied AI Scientists

  • Applied AI Engineers

 

You’ll have the chance to contribute to, scale, and maintain the core systems that power our AI-driven products, whether that’s backend services, distributed infrastructure, CI/CD pipelines, powerful AI models, or observability tools. This is your opportunity to collaborate across functions, solve sophisticated technical challenges, and take ownership of essential systems.

 

Depending on your interests and team, your work may include:

 

Software Engineering (SWE)

  • Design, develop, and maintain scalable backend systems (APIs, microservices) or user-facing features.

  • Write clean, tested, and efficient code (Python, Go, TypeScript, Rust, Java).

  • Optimize production systems for performance, reliability, and security.

  • Collaborate with product, design, and AI/ML teams to ship impactful features.

 

Site Reliability Engineering (SRE)

  • Ensure high availability and efficiency of services via monitoring, SLOs, and robust incident response.

  • Automate deployment and recovery (Kubernetes, Terraform, Ansible).

  • Build observability and alerting systems (Prometheus, Grafana, OpenTelemetry).

  • Lead postmortems and promote a blameless culture.

 

DevOps Engineering

  • Design and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).

  • Manage infrastructure as code (Terraform, Pulumi) and configuration (Helm, SaltStack).

  • Optimize cloud resources (AWS/GCP/Azure) for performance and security.

  • Bridge development and operations for seamless workflows.

 

Release Engineering

  • Develop tooling and automation to streamline software releases.

  • Ensure safe, reliable deployments to production at scale.

 

Applied AI Scientist / Applied AI Engineer

  • Develop, train, and optimize AI models for real-world applications (NLP, computer vision, generative AI, etc).

  • Deploy and continuously improve models in production environments.

  • Collaborate closely with engineering, research, and product teams to turn AI research into scalable solutions.

  • Analyze data and performance metrics to guide model enhancements and ensure robust, reliable AI deployments.

 

Research Engineering (RE)

  • Accelerate AI research by owning pipelines, delivering robust tools, and prototyping utilities that evolve into stable libraries.

  • Interface research with product by exposing clean APIs and surfacing live metrics across our AI platform.

  • Write efficient, well-tested Python and systems code (PyTorch/TensorFlow) within strict review and CI processes.

  • Design and optimize distributed systems for large-scale model training.

 

Cross-Functional Collaboration

  • Work with AI/ML, Data, Security, and Product teams to integrate new technologies seamlessly.

  • Document architecture decisions, runbooks, and best practices.

  • Participate in code reviews, design discussions, and on-call rotations (SRE/DevOps).

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.