Applied AI Engineer, Cybersecurity - Montreal

Mistral AI Mistral AI · AI Frontier · Montréal · Solutions

Applied AI Engineer to build customer-facing cyber security services and use-cases on top of foundational cyber harnesses. This role involves composing red-team/blue-team agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients by turning prototype agents into deployed services.

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
  • ship fast
  • bias toward action and delivery
  • operate independently
  • customer-led mindset
  • reuse 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 agentic layer
  • ship fast
  • operate independently
  • customer-led mindset
  • reuse internal components

Other signals

  • customer-facing cyber service
  • agentic workflows
  • deployed services