AI Security Engineer

Job Summary

Building and tuning AI models for detection and investigation, the full-time AI Security Engineer will utilize offensive security techniques to identify gaps in detection logic while collaborating remotely with the Praxis AI team and SOC analysts.

Key responsibilities

• Design and train models to score, correlate, and prioritize security events
• Develop adversarial test cases and simulations to identify detection failures
• Document model behavior and tuning decisions for SOC analysts' understanding

Required qualifications

• Experience in building and deploying machine learning models in a security context
• Hands-on experience in offensive security, including red team or penetration testing
• Proficiency in reading and writing detection logic such as SIEM rules or EDR queries
• Ability to communicate technical tradeoffs clearly to non-technical stakeholders