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Senior Staff Security Engineer (AI)

232 000 - 290 000$
Формат работы
hybrid
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
Senior Staff Security Engineer (AI): Leading the technical strategy for AI security and agentic workflows with an accent on securing LLM integrations and building AI-powered security tooling. Focus on defining guardrails for the agentic SDLC, mitigating emerging AI threats, and shaping Ripple's external posture on responsible AI security.

Location: San Francisco, CA, United States; in-office collaboration is expected 10+ days per month

Annual base salary: $232,000–$290,000 USD

Company

hirify.global builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.

What you will do

  • Define hirify.global’s AI Security technical strategy and roadmap across the agentic software development lifecycle.
  • Design and implement controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and action containment.
  • Establish AI security guardrails, provenance standards, dual-review requirements, and audit trails for AI-assisted development.
  • Lead security reviews and risk assessments for LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI.
  • Build Shadow AI detection capabilities and ensure AI workflows remain within hirify.global’s auditable security perimeter.
  • Translate emerging risks such as MCP server vulnerabilities, tool poisoning, prompt injection, and excessive agency into practical mitigations, while contributing to external standards and research.

Requirements

  • 10+ years of Security Engineering experience with depth in at least two areas, such as Product Security, Cloud Security, or Security Operations.
  • Hands-on experience with AI or ML security and a strong understanding of prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic AI risks.
  • Experience securing agentic AI systems through sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring.
  • Experience with cloud security on AWS, GCP, or Azure, as well as CI/CD pipeline security, containers, Kubernetes, IAM, and API security.
  • Strong threat-modeling skills using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or comparable approaches.
  • Ability to influence Engineering, Product, and Security direction without direct authority and work effectively in ambiguous problem spaces.

Nice to have

  • Experience in fintech, crypto, or highly regulated environments.
  • Exposure to NYDFS, MAS, DORA, or SOC 2 frameworks as they relate to AI adoption.

Culture & Benefits

  • Fast-paced startup environment with experienced industry leaders and opportunities to work with emerging technologies.
  • Professional development budget and learning opportunities.
  • Flexible manager- and team-led office collaboration, with 10+ in-office days per month for moments that matter.
  • Healthcare, retirement, family-forming and family-support benefits, bonuses, equity, and a mobile phone stipend.
  • Vacation, R&R days, wellness reimbursement, parental leave, family-planning benefits, catered lunches, and stocked kitchens.

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