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Tech Stack
Tools & technologiesCloudCyber SecurityPythonReact
About the role
Key responsibilities & impact- You'll build and own the AI systems that make Live Breach feel like a real incident rather than a scripted exercise.
- The AI attacker agent - an autonomous LLM-powered agent that receives a threat actor profile, a network briefing, and a configured attack chain, then executes it against a live environment.
- The exercise orchestration layer - a parallel system that monitors the network during a live exercise, recognises which attack techniques have executed, listens for correct containment and eradication actions from participants, and surfaces investigation tasks tied to real attacker behaviour.
- Prompt engineering for both red and blue team agent components, in close collaboration with our content engineering team
- Integration with adversary emulation tooling for realistic technique execution
- User emulation and noise generation — simulating realistic background activity so participants must distinguish real attacker behaviour from normal log volume
- Documentation and architecture that allows the broader engineering team to operate and debug the AI layer without dependency on any single person.
Requirements
What you’ll need- Hands-on experience building LLM-powered agents — planning loops, tool use, memory, state management
- Strong Python engineering; able to ship production-quality agentic systems, not just prototypes
- Ability to design prompts and agent architectures that are reliable and predictable under adversarial conditions
- Comfortable working autonomously on problems that aren't fully defined — you'll need to make good technical decisions with limited hand-holding
- Strong async communication; the team is distributed and documentation matters
- Working familiarity with cybersecurity concepts — attack techniques, MITRE ATT&CK, network fundamentals (Active Directory, lateral movement, persistence).
- Experience with adversary emulation frameworks (MITRE CALDERA or similar)
- Experience building event-driven systems that monitor and react to real-time state changes
- Familiarity with cloud infrastructure (we provision VMs and networks dynamically per exercise)
- Prior work in the cyber range, red team tooling, or security simulation space
- Experience with multi-agent architectures where agents observe and react to each other
Benefits
Comp & perks- Remote work options
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
LLM-powered agentsPythonprompt engineeringadversary emulation frameworksevent-driven systemscloud infrastructuremulti-agent architecturesstate managementnetwork fundamentalscybersecurity concepts
Soft Skills
autonomous problem solvingtechnical decision makingasync communicationcollaborationdocumentation
