Applied AI, Fullstack Software Engineer, Critical and Sovereign Institutions, Paris

Mistral AI is seeking an Applied AI Engineer, Fullstack Software Engineer to facilitate the adoption of its products among customers operating in critical, sovereign, and highly regulated environments.

The Applied AI Engineer — Fullstack Software Engineer will be an integral part of our Applied AI Engineering team, helping drive the successful deployment of Mistral AI products for critical infrastructure, sovereign institutions, and strategic public or private-sector organizations.

You will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations while respecting the highest standards of security, reliability, compliance, and operational excellence.

This is a hands-on, customer-facing engineering role where you will design, build, and deploy full-stack AI applications tailored to complex and sensitive environments.

• Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products.
• Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.
• Develop complex use cases with customers operating in critical and sovereign environments, providing guidance and ensuring the best production integration with back-end and front-end interfaces.
• Build GenAI applications, interfaces, APIs, dashboards, and workflow tools tailored to the needs of critical infrastructure, sovereign institutions, and highly regulated organizations.
• Work directly with customers to understand their workflows, technical constraints, security requirements, and strategic objectives.
• Ensure solutions are designed with strong attention to security, reliability, performance, maintainability, and compliance.
• Collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback, with a particular focus on security-sensitive and mission-critical use cases.