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2 дня назад

AI Cybersecurity Engineer

100 000 - 120 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Cybersecurity Engineer (LLM and Cloud Security): Designing and implementing security controls, threat models, and incident response capabilities for AI and machine learning systems with an accent on LLM security, model APIs, training data pipelines, and AI-powered applications. Focus on defending against prompt injection, model abuse, data exfiltration, supply chain risks, and securing modern cloud infrastructure.

Location: 100% remote within the United States

Salary: $100,000–$120,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Design and implement security controls for AI-powered applications and supporting AI infrastructure.
  • Develop threat models and security architecture reviews for LLMs, model APIs, training data pipelines, and AI systems.
  • Build incident response capabilities for AI and machine learning environments.
  • Address prompt injection, model abuse, data exfiltration, and AI supply chain risks.
  • Design defenses based on practical understanding of modern AI architectures and their failure modes.

Requirements

  • Work authorization: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates may apply; new H-1B petitions cannot be sponsored.
  • Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or a related discipline.
  • 6+ years of security engineering experience, including significant work with AI or ML systems.
  • Strong understanding of LLM internals, modern AI architectures, application security, identity, cryptography, cloud security, and infrastructure controls.
  • Hands-on experience designing AI application security controls, threat modeling, and security architecture reviews.
  • Proficiency in Python and at least one systems language, with strong written and verbal communication skills.

Nice to have

  • Publications, talks, or CTF participation in AI security.
  • Experience red-teaming LLM-based products.
  • Knowledge of privacy-preserving ML techniques such as differential privacy.
  • Experience with regulated industries and strict data handling requirements.
  • Open-source contributions to AI security tooling.

Culture & Benefits

  • Full-time direct W2 employment.
  • Fully remote work arrangement within the United States.
  • Career growth opportunities within an established technology organization.

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