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

Mistral AI Mistral AI · AI Frontier · Paris, France · Solutions

Fullstack Software Engineer role focused on deploying Mistral AI products for customers in critical, sovereign, and highly regulated environments. This involves designing, building, and deploying full-stack AI applications, integrating models, and working directly with clients to ensure solutions meet high standards of security, reliability, and compliance.

What you'd actually do

  1. Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products.
  2. Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.
  3. 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.
  4. Build GenAI applications, interfaces, APIs, dashboards, and workflow tools tailored to the needs of critical infrastructure, sovereign institutions, and highly regulated organizations.
  5. Work directly with customers to understand their workflows, technical constraints, security requirements, and strategic objectives.

Skills

Required

  • Python
  • TypeScript
  • React
  • NextJS
  • VueJS
  • NodeJS
  • software development principles
  • design patterns
  • data structures
  • algorithms
  • communication skills
  • customer-facing environments

Nice to have

  • LLM/GenAI models
  • open-source projects
  • Customer Engineer
  • Forward Deployed Engineer
  • Sales Engineer
  • Solutions Architect
  • Technical Product Manager
  • critical infrastructure experience
  • government experience
  • defense experience
  • financial services experience
  • healthcare experience
  • energy experience
  • telecommunications experience
  • regulated sectors experience
  • on-prem deployments
  • private cloud
  • data residency
  • access control
  • auditability
  • compliance constraints
  • AI-powered products
  • enterprise customers

What the JD emphasized

  • critical and sovereign environments
  • highly regulated environments
  • security, reliability, compliance
  • security-sensitive and mission-critical use cases
  • security-sensitive environments
  • compliance constraints
  • high-level security clearance

Other signals

  • customer-facing
  • full-stack AI applications
  • critical and sovereign environments
  • security, reliability, compliance