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$190к-225к/год
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У роли понятный senior-фокус на AppSec и содержательные задачи по безопасности ИИ, но широкий набор технических ожиданий и публикация через рекрутера оставляют вопросы о компании-работодателе.
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Понятные задачи
Фокус на безопасности ИИ
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Application Security Engineer (AI): Securing application stacks, generative AI systems, and agentic delivery workflows with an accent on threat modeling, secure design, CI/CD security, and AI risk frameworks. Focus on coordinating AI red-teaming and penetration testing, integrating automated security controls, and driving remediation across engineering teams.
Location: Hybrid in New York, New York, US
Salary: $190,000–$225,000 per year
Company
hirify.global is hiring for a direct-hire application security engineering role focused on software and AI security.
What you will do
Review application stacks, identify security gaps, and define, prioritize, track, and drive remediation plans with development teams.
Perform threat modeling and secure design reviews early in the software development lifecycle.
Embed security controls, automated testing, and policy enforcement into CI/CD pipelines and agentic delivery workflows.
Apply OWASP Top 10, OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework, and MITRE ATLAS to assess and manage risk.
Manage third-party AI red-teaming and application penetration testing engagements, including scope definition, vendor coordination, and remediation.
Mentor developers and contribute to application and AI security standards, reference architectures, and governance policies.
Requirements
At least 3 years of application or product security experience and 7 years of cumulative experience across software development and information security.
Experience securing generative AI and/or agentic AI systems, or current hands-on knowledge of LLM and agentic AI security risks applicable to production environments.
Deep familiarity with authentication and authorization standards, including OAuth 2.0, OpenID Connect, SAML, and JWT.
Strong knowledge of secure SDLC practices, developer workflows, DevOps/CI/CD pipelines, modern deployment practices, serverless functions, Kubernetes, and pipeline security.
Hands-on experience with SAST, DAST, SCA, and manual secure code review.
Understanding of OWASP Top 10, CWE, CVSS scoring, vulnerability triage, and risk prioritization.
Practical knowledge of web, API, and cloud application architectures and their security risks.
Ability to read and understand code in one or more of Python, JavaScript/TypeScript, Java, C#, or Go.
Strong written and verbal communication, collaboration, influencing, attention to detail, and risk-based judgment.
Nice to have
Bachelor’s degree or higher in Computer Science, Information/Cyber Security, or a related field, or equivalent experience.
Experience with AI agent frameworks, the Model Context Protocol, AI red-teaming, adversarial testing, AI security guardrails, or evaluation pipelines.
Relevant certifications such as CSSLP, GIAC GWAPT, OffSec OSWE, CISSP, or an AI security certification.
Experience securing AWS, Azure, or GCP environments, infrastructure-as-code, and CI/CD platforms such as GitHub Actions, GitLab CI, or Jenkins.
Experience with GitHub Advanced Security, NIST SSDF, OWASP SAMM, SLSA, software supply chain security, regulated industries, or developer mentoring programs.
Culture & Benefits
Direct-hire employment.
Hybrid work model based in New York, New York.
Role involves collaboration with engineering teams and leadership without direct authority.
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