Application Security Researcher (AI)

Location: Argentina

Company

hirify.global develops AI-driven application and cloud security technology that connects development and runtime context to detect and prevent vulnerabilities.

What you will do

• Research vulnerability chains, business-logic flaws, and complex attack paths across applications and infrastructure.
• Design and build detection engines and decision-making logic for autonomous security systems.
• Evaluate AI and LLM-based models for application security use cases and measure their effectiveness.
• Prototype, build, and ship security capabilities into production environments.
• Analyze large-scale security data to improve detection accuracy and identify exploitable attack paths.
• Partner with Product, Engineering, and Data teams while owning research initiatives from idea to production.

Requirements

• M.Sc. in Computer Science, Cyber Security, or a related field.
• 5+ years of hands-on experience in offensive security, vulnerability research, or application security.
• Deep knowledge of web application and API vulnerabilities, business-logic flaws, and multi-step attack chains.
• Strong coding skills in Python, Go, or a similar language, with experience shipping production-quality code.
• Experience with detection logic, CI/CD pipelines, containers, Kubernetes, a major cloud provider, and large datasets using SQL, BigQuery, or similar tools.
• Hands-on experience with LLMs or AI models for security tasks and the ability to communicate complex attack paths clearly.

Nice to have

• Published research, CVEs, conference talks, or a bug bounty track record.
• Experience building AI agents or LLM evaluation frameworks.
• Background in exploit development, red teaming, or penetration testing.
• Experience with taint analysis, call graphs, reachability, or open-source security tools.