Product Security Engineer II (AI Security)

Location: Palermo, Ciudad Autónoma de Buenos Aires (CABA), Argentina

Company

hirify.global provides the hirify.global Experience Cloud, a SaaS platform for managing customer, employee, patient, candidate, and resident experiences.

What you will do

• Perform security reviews of applications, APIs, features, product changes, architectures, and implementations.
• Triage, validate, prioritize, track, and close vulnerabilities from security tools, penetration tests, bug bounty reports, and internal reviews.
• Operate SAST, SCA, secrets detection, DAST, container security, cloud security, and ASPM tooling.
• Integrate security controls into CI/CD and developer workflows, improve scan coverage, reduce false positives, and develop lightweight automation.
• Support penetration testing, targeted security validation, bug bounty triage, and secure development lifecycle activities.
• Review GenAI and AI-enabled features, including risks such as prompt injection, sensitive data exposure, and unsafe tool invocation.

Requirements

• 2–5 years of experience in application security, product security, penetration testing, security engineering, or software engineering with a security focus.
• Working knowledge of OWASP Top 10, web and API security, authentication and authorization, common application vulnerabilities, and secure coding principles.
• Experience with at least one application security or vulnerability management tool, such as SAST, SCA, DAST, or secrets detection.
• Basic understanding of cloud and container technologies, plus scripting or programming experience with Python, Java, JavaScript, Go, or similar.
• Ability to analyze technical findings, provide remediation guidance to developers, work independently on defined tasks, and collaborate on complex investigations.
• Professional working proficiency in written and spoken English is required.

Nice to have

• Experience with AWS or other major cloud platforms, Kubernetes, containers, microservices, or modern API architectures.
• Experience with penetration testing, vulnerability research, CI/CD, or DevSecOps practices.
• Exposure to GenAI, LLM, or AI application security and experience working directly with software engineering teams.
• Security certifications or relevant technical training.

Culture & Benefits

• Collaborate with Product Security, Engineering, Product, Cloud Security, and other Security teams.
• Participate in Product Security on-call and intake processes.
• Contribute to documentation, knowledge sharing, process improvements, and automation.
• Work in an environment committed to diversity and equal opportunity.