Applied AI Engineer, Cybersecurity

Mistral AI Mistral AI · AI Frontier · Paris, France · Business

Applied AI Engineer to build customer-facing cyber security services and use-cases on top of Mistral's cyber harnesses. This role focuses on composing agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients by turning prototype agents into deployed services. The engineer will design and implement context engineering, orchestrate multi-agent systems, and build the agentic layer between the harness and the client.

What you'd actually do

  1. Compose red-team / blue-team agentic workflows for production use-cases
  2. Configure harnesses for cloud defense, vulnerability scanning, dynamic red-teaming, and penetration testing scenarios
  3. Work directly on client use-cases, translating security requirements into agentic solutions
  4. Turn prototype agents into deployed services that clients rely on
  5. Design and implement context engineering that enables agents to operate effectively in cybersecurity domains

Skills

Required

  • building agents
  • LLM orchestration
  • context engineering
  • evals
  • RAG systems
  • customer-led mindset
  • reusing internal components

Nice to have

  • cyber context
  • genuine cyber or pentest knowledge
  • experience building agentic harnesses or multi-agent systems end-to-end
  • strong background in evals and benchmarking of agent systems
  • experience with security tooling or workflows
  • prior work on production AI systems in regulated or high-stakes environments

What the JD emphasized

  • build the customer-facing cyber service and use-cases
  • turn "we have agents" into "we shipped something a client uses"
  • compose red-team/blue-team agentic workflows
  • configuring harnesses for real-world scenarios
  • delivering value directly to clients
  • building the agentic use-cases and client-facing service
  • Ship fast and iterate based on client feedback and real-world performance
  • Operate independently while leveraging internal building blocks and frameworks
  • Strong applied AI engineer with hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems
  • You ship fast, with a bias toward action and delivery
  • Operate independently with a customer-led mindset
  • Able to reuse internal components and bricks effectively

Other signals

  • building customer-facing cyber service
  • composing red-team/blue-team agentic workflows
  • delivering value directly to clients
  • translating security requirements into agentic solutions
  • shipping fast and iterating based on client feedback