Cybersecurity, Offensive Security Engineer

Mistral AI Mistral AI · AI Frontier · Paris, France · Engineering & Infra

Security Researcher focused on safeguarding agentic AI systems, cloud infrastructure, and foundational models by identifying and mitigating risks through offensive security techniques, red/purple teaming, and penetration testing. The role involves building offensive tooling and contributing to Mistral AI's security strategy.

What you'd actually do

  1. Proactively hunt for vulnerabilities in the interactions between our agentic applications, cloud infrastructure, and foundational models, with a focus on realistic, high-impact attack vectors.
  2. Design and execute red and purple team exercises, simulating sophisticated adversarial scenarios to stress-test our defenses and refine our detection capabilities.
  3. Partner with defensive teams to translate offensive insights into actionable improvements, from detection engineering to incident response.
  4. Conduct in-depth penetration testing across our product suite, including AI-driven workflows, custom infrastructure, and user-facing interfaces.
  5. Build and automate offensive tooling to scale your impact, leveraging cutting-edge techniques to stay ahead of emerging threats.

Skills

Required

  • Offensive security experience
  • AI/ML security risks (prompt injection, data leakage, model manipulation)
  • Assessing modern technology stacks (Kubernetes, cloud-native, CI/CD, macOS/Linux internals, Python/React)
  • Data science toolchains and AI/ML infrastructure
  • Writing robust tools and automating offensive workflows
  • Trust boundaries and risk assessment
  • Communication skills

Nice to have

  • Background in AI, data science, or related fields
  • Experience in high-growth startups or research-driven organizations
  • Expertise in adjacent disciplines (software engineering, detection engineering, SRE, security architecture)

What the JD emphasized

  • 7+ years of offensive security experience
  • Deep knowledge of AI/ML security risks
  • Hands-on experience assessing modern technology stacks
  • A builder’s mindset

Other signals

  • agentic systems
  • AI safety
  • foundational models
  • AI/ML security risks