Applied AI Engineer, CyberSecurity
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Applied AI Engineer, CyberSecurity at mistral: Paris, Франція; На місці; Середній рівень; IT; Data Science та ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Paris, Франція, На місці
- Role classification: IT, Data Science та ML, Середній рівень
- Source freshness: checked by JobGrid on 2026-06-11.
- Application path: candidates continue to the employer application page with non-personal referral tags.
We are seeking an Applied AI Engineer to build the customer-facing cyber service and use-cases on top of our cyber harnesses. You will turn "we have agents" into "we shipped something a client uses." This role is about composing red-team/blue-team agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients.
Your work will bridge the gap between our foundational cyber harnesses and the agentic solutions that clients deploy. While SWE-Cyber makes the platform robust and scalable, and Pentesters run the solution and guide the direction, you will focus on building the agentic use-cases and client-facing service that solve real security problems.
What you will do
Client-Facing Agentic Solutions
• Compose red-team / blue-team agentic workflows for production use-cases
• Configure harnesses for cloud defense, vulnerability scanning, dynamic red-teaming, and penetration testing scenarios
• Work directly on client use-cases, translating security requirements into agentic solutions
• Turn prototype agents into deployed services that clients rely on
Context Engineering & Orchestration
• Design and implement context engineering that enables agents to operate effectively in cybersecurity domains
• Orchestrate multi-agent systems for complex security workflows
• Build the agentic layer that sits between the harness and the client
Service Delivery
• Ship fast and iterate based on client feedback and real-world performance
• Operate independently while leveraging internal building blocks and frameworks
• Collaborate with pentesters to ensure domain accuracy and effectiveness
• Partner with SWE-Cyber to ensure the platform supports your use-case requirements
• 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
• Some cyber context is a real plus, but not mandatory - we can pair you with pentesters for domain depth
• Strong problem-solving abilities and attention to detail
• Excellent communication skills and collaborative attitude
It would be ideal if you also have:
• 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