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обновлено 10 дней назад

Sr. Software Engineer (AI Agent Security)

180 000 - 250 000$
Формат работы
hybrid
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
Sr. Software Engineer (AI Agent Security): Building enterprise-ready features and GenAI and Copilot security solutions for a platform that governs AI agents, with an accent on large-scale cloud services and enterprise integrations. Focus on designing scalable systems, applying AI coding agents, and solving complex security and enterprise-readiness challenges across cross-functional teams.

Location: NYC, United States; hybrid schedule with up to 3 days per week in the office

Salary: $180,000–$250,000 base annually, depending on experience, skills, and location; equity and performance-based incentives may also be available.

Company

hirify.global provides an AI agent security platform for enterprise visibility, governance, detection, prevention, and response across SaaS, internal platforms, and end-user devices.

What you will do

  • Take ownership of existing features and make them enterprise-ready.
  • Build GenAI and Copilot security solutions for enterprise customers.
  • Develop and scale platform capabilities, processes, and customer success.
  • Collaborate with product, engineering, sales, and customer-facing teams.

Requirements

  • 5+ years of software engineering experience with a track record of building systems, processes, and relationships.
  • Expertise in modern programming languages such as Python, C#, Java, Go, TypeScript, or JavaScript.
  • Experience developing large-scale services on AWS, Azure, or GCP.
  • Advanced proficiency with AI coding agents, including skills and rules.
  • Experience in fast-moving, high-growth, or venture-backed startup environments.
  • Strong communication, collaboration, ownership, and accountability skills.

Culture & Benefits

  • Ownership-driven environment with transparent, cross-functional collaboration.
  • High technical standards and startup-speed execution.
  • Work on enterprise AI agent security at scale.
  • Potential eligibility for equity and performance-based incentives.

Hiring process

  • Recruiter screen followed by a problem-solving assessment.
  • Hiring manager interview focused on technical background, system design, and the assessment.
  • Interviews with the Director of Engineering, VP of R&D, and People Team.

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