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3 часа назад

Staff Attack Engineer (AI/LLM Security)

223 000 - 275 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Attack Engineer (AI/LLM Security): Building and scaling automated attack patterns for the NodeZero autonomous pentesting platform with an accent on AI/LLM exploitation and agentic system security. Focus on designing reusable prompt injection, defense evasion, and tool-use exploitation techniques to secure enterprise AI infrastructure.

Location: Must be based in the US

Salary: $223,000 - $275,000 annually

Company

hirify.global is a cybersecurity company providing autonomous pentesting solutions to help organizations proactively identify and remediate exploitable attack vectors.

What you will do

  • Break AI and agentic systems and translate research into automated, repeatable attack modules.
  • Design and execute prompt injection and defense evasion attacks with a focus on reusable patterns.
  • Exploit LLM agents' access to code, file systems, APIs, and databases to simulate realistic attacker outcomes.
  • Target AI infrastructure including model serving, training pipelines, and vector databases.
  • Perform threat modeling for agentic systems to map trust boundaries and attack surfaces.
  • Apply a productization mindset to turn manual techniques into scalable automated tooling.

Requirements

  • Must be based in the US
  • Expert-level Python and software engineering skills.
  • Solid penetration testing fundamentals and understanding of common attack chains.
  • Proven ability to break AI/LLM and agentic systems.
  • Familiarity with AI/LLM security frameworks like OWASP Top 10 for LLMs and MITRE ATLAS.
  • Experience in a security product or offensive security team.

Nice to have

  • Experience with cloud AI services like Azure OpenAI or GCP Vertex AI.
  • Contributions to AI security research such as blog posts, talks, or CVEs.
  • Familiarity with graph databases like Neo4j.
  • Background in traditional exploit development or vulnerability research.
  • CTF experience in AI/ML challenge categories.

Culture & Benefits

  • 100% remote work environment.
  • Competitive salary and equity package in the form of stock options.
  • Comprehensive health, vision, and dental insurance for employees and families.
  • Flexible vacation policy and generous parental leave.
  • Inclusive team culture focused on collaboration, ownership, and results.

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