Applied AI Engineer, CyberSecurity

 

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

 

We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work.

 

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

 

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

 

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