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Security Engineer (AI)

Формат работы
onsite
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

Текст:
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TL;DR
Security Engineer (AI): Securing an autonomous AI Production Engineer platform across application security, cloud infrastructure, internal services, integrations, and agent execution with an accent on identity, permissions, automation, and safe agent actions. Focus on designing guardrails for autonomous systems, modeling threats unique to LLMs and agentic workflows, and building scalable security into CI/CD and infrastructure.

Location: San Francisco, United States; on-site

Company

hirify.global is building an autonomous AI Production Engineer that investigates and fixes complex production system issues end-to-end.

What you will do

  • Own security across the platform, including applications, cloud infrastructure, internal services, integrations, and agent execution.
  • Design security mechanisms and boundaries that enable autonomous agents to act safely and audibly.
  • Partner with platform, infrastructure, and product engineers to create secure system designs early.
  • Build security into software delivery through CI/CD automation, infrastructure guardrails, and secure defaults.
  • Evaluate identity, permissions, and access across customers, tools, and environments.
  • Address emerging risks in AI-driven systems and support enterprise security conversations.

Requirements

  • Bachelor’s degree in Computer Science or a closely related technical field.
  • Experience securing production web applications, cloud infrastructure, and internal services.
  • Hands-on production engineering and automation experience; Python is required.
  • Experience with AWS, GCP, or Azure, including IAM, networking, and infrastructure as code.
  • Practical experience with threat modeling, vulnerability management, and incident response.
  • Ability to communicate risk clearly and make pragmatic security tradeoffs in ambiguous environments.

Nice to have

  • Experience securing AI or ML-driven systems, including LLM and agentic workflow risks.
  • Background building or integrating security tooling at scale.
  • Experience with regulated environments or enterprise security reviews.
  • Experience applying privacy-first principles such as data minimization, isolation, and anonymization.

Culture & Benefits

  • Security practice focused on pragmatic, high-signal engineering.
  • Close collaboration across platform, infrastructure, and product engineering.
  • Customer-oriented approach to understanding real-world system usage.
  • hirify.global has raised more than $190 million from leading investors.

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