{new} Applied Ai, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, Emea

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

Applied AI Engineer for Mistral AI's Critical and Sovereign Institutions team, focusing on designing, deploying, and maintaining secure AI solutions for regulated environments. The role involves developing GenAI applications, fine-tuning LLMs, implementing RAG and agentic systems, and contributing to production deployments and open-source codebases.

What you'd actually do

  1. Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
  2. Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
  3. Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
  4. Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
  5. Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.

Skills

Required

  • Python
  • PyTorch
  • LangChain
  • HuggingFace
  • API design
  • backend development
  • full-stack development
  • system architecture
  • technical communication

Nice to have

  • Cloud platforms (AWS, GCP, Azure)
  • MLOps tools
  • React
  • frontend frameworks
  • Deep Learning in PyTorch
  • Contributed to open-source projects in the LLM or AI space
  • customer-facing roles with a focus on enterprise AI adoption

What the JD emphasized

  • Proven track record of leading teams to deliver complex AI projects from prototyping to production.
  • Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
  • Strong software engineering skills: API design, backend/full-stack development, system architecture.
  • Eligibility: must hold citizenship in the target territory (France for now).
  • Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).

Other signals

  • Deploying AI solutions into production
  • Developing state-of-the-art GenAI applications
  • Fine-tuning LLMs, advanced RAG, agentic systems
  • Customer-facing roles with a focus on enterprise AI adoption