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50 минут назад

Security Engineer (AI/LLM)

120 000 - 150 000$
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
Security Engineer (AI/LLM): Securing AI/LLM deployments, cloud infrastructure, and sensitive data across AWS and GCP with an accent on threat modeling, guardrail design, and cloud security monitoring. Focus on defending MCP and LLM connector integrations, hardening multi-cloud environments, analyzing real-time security alerts, and supporting SOC 2, PCI DSS, and ISO 27001 compliance.

Location: Mountain View, California, United States; hybrid workplace

Salary: USD 120,000–150,000 per year, plus performance bonuses and equity options.

Company

hirify.global provides an AI-powered fraud and risk platform with an open SaaS architecture for real-time fraud and money-laundering detection.

What you will do

  • Assess and secure AI/LLM deployments, MCP implementations, and LLM connector integrations through threat modeling, guardrail design, and risk assessment.
  • Monitor cloud and infrastructure security using CSPM, SIEM, log analysis, cloud-native threat detection, database activity monitoring, and SOAR.
  • Own security across AWS and GCP, including IAM, compute, storage, networking, workload configurations, hardening, baseline enforcement, and remediation.
  • Participate in incident management, change management, security policy management, and incident response.
  • Contribute to SOC 2, PCI DSS, and ISO 27001 compliance programs.

Requirements

  • 5+ years of security engineering experience, including at least 2 years focused on AI/ML security.
  • Hands-on experience securing AWS and GCP environments, including IAM, EC2, S3, VPC, and equivalent GCP services.
  • Experience with CSPM and securing cloud-based AI/LLM deployments, including foundation models such as Claude on Amazon Bedrock.
  • Experience applying guardrails, input/output filtering, prompt-injection defense, output validation, and data-egress controls.
  • Hands-on assessment of MCP and LLM connectors against OWASP guidance, including OAuth scope minimization, tool-access boundaries, and untrusted-content handling.
  • Knowledge of NIST AI RMF, OWASP LLM Top 10, OWASP guidance for MCP and agentic systems, MITRE ATLAS, cloud security, cryptography, authentication, authorization, vulnerabilities, and IP networking.

Culture & Benefits

  • Open, positive, collaborative, and results-driven work culture.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) retirement savings plan.
  • Flexible Time Off and paid holidays.
  • Total compensation includes base salary, performance bonuses, and equity options.

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