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# Applied AI Engineer, CyberSecurity

- **Company:** Mistral AI
- **Location:** Paris, France
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software System Penetration Testing, Cyber Security, Large Language Models, Multi-Agent Systems, Vulnerability Analysis
- **Published:** July 24, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=c9a302e336db742a

## About the Role

* 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

## Description

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


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