Horizon3.ai

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

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