
Staff Attack Engineer, AI/LLM
Horizon3.ai
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $223,000 - $275,000 per year
Job Level
Tech Stack
About the role
- Break AI and agentic systems and translate that research into automated, repeatable attack modules for NodeZero.
- Design and execute prompt injection and defense evasion attacks, focusing on generalized, reusable patterns.
- Conduct tool-use exploitation, abusing LLM agents’ access to code, file systems, APIs, and databases for attacker-realistic outcomes (e.g., context poisoning, RCE, data exfiltration, privilege escalation).
- Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling) with an understanding of real-world enterprise deployments and misconfigurations.
- Research and apply model and supply chain attacks (poisoning, training data extraction, adversarial inputs, deployment pipeline abuse).
- Perform threat modeling for agentic systems, mapping trust boundaries and attack surfaces and turning them into concrete attack paths.
- Apply a strong productization mindset, turning manual techniques into safe, reliable, and scalable automated tooling.
- Build and extend LLM-powered applications (prompting, structured output, agentic workflows).
- Design with production concerns in mind: cost, safety and hallucination guardrails, reliability, and observability.
- Design and extend microservices that orchestrate LLM tasks and integrate with NodeZero and related offensive workflows.
Requirements
- Expert-level Python and software engineering skills
- Solid penetration testing fundamentals and understanding of common attack chains
- Familiarity with AI/LLM security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS)
- Experience in a security product or offensive security team, ideally with shipped offensive capabilities or tooling
- Proven ability to break AI/LLM and agentic systems
- Clear understanding of trust boundaries around AI tools, data sources, and permissions, and how to systematically test and exploit them
- Expert-level ownership – drives high-complexity, high-risk programs and sets strategy, not just execution
- Self-motivated – identifies problems and builds solutions proactively
- Industry obsessed – tracks the fast-moving AI security landscape and can speak to recent developments, new attacks, and where the field is heading.
Benefits
- Health, vision & dental insurance for you and your family
- Flexible vacation policy
- Generous parental leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonpenetration testingattack chainsprompt injectiondefense evasiontool-use exploitationthreat modelingmicroservicesLLM-powered applicationsautomated tooling
Soft Skills
expert-level ownershipself-motivatedproblem-solvingstrategic thinkingcommunication