Applied AI Engineer, CyberSecurity

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.

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

About you

• 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