238K–280K USD / year
Principal Attack Engineer, AI/LLM
AIRemote — United States
Published on 2026-10-30
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About this role
Set the technical direction for AI/LLM offensive security at Horizon3 and turn research into scalable capabilities for its autonomous pentesting platform, NodeZero. The role focuses on finding and validating attack paths in LLM applications, AI agents, and supporting infrastructure, while guiding company-wide architecture, safety, and reliability standards.
About the company
Horizon3.ai is a technology company specializing in cybersecurity solutions, focusing on automated penetration testing and threat detection for enterprises. They provide a range of services aimed at enhancing security posture and risk management for organizations across various sectors.
The team
Proactive Offense and Core Attack teams within Engineering.
Stack
PythonNodeZeroAWS BedrockAWS Agent CoreAzure OpenAIGoogle Vertex AIvector databasesNeo4j
What you'll do
- Define the long-term AI/LLM offense vision and product roadmap.
- Lead research and coverage strategy for attacks against LLM applications, agents, and AI infrastructure.
- Turn novel attack research into safe, reliable, scalable NodeZero capabilities.
- Set architecture and standards for LLM-powered workflows, evaluation, observability, safety, and cost management.
- Lead cross-company technical initiatives and resolve systemic technical blockers.
- Mentor senior engineers and represent the company through research, talks, or open-source work.
What we're looking for
- Exceptional Python and software engineering expertise.
- Deep offensive security, penetration testing, exploit development, or vulnerability research experience.
- Recognized expertise in AI/LLM and agentic-system security.
- Strong command of OWASP Top 10 for LLM Applications and MITRE ATLAS.
- Track record of shaping or shipping high-impact security capabilities across teams.
- Ability to set technical vision and drive execution through influence.
- Experience developing senior technical talent.
Nice to have
- Industry contributions such as publications, conference talks, CVEs, or open-source projects.
- Experience with cloud AI platforms, agentic architectures, tool-use security, retrieval systems, or AI infrastructure security.
- Traditional exploit development or large-scale offensive security platform experience.
- AI/ML-focused CTF experience.
Benefits
- Stock options
- Health, vision, and dental insurance for employees and family
- Flexible vacation policy
- Generous parental leave
Hiring process
- Not specified