Security Engineer

• Design and develop frameworks to evaluate the security, safety, accuracy, reliability, and performance of ML/GenAI solutions
• Identify, reproduce, and remediate prompt injection and indirect prompt injection vulnerabilities
• Develop automated security and adversarial tests for LLMs and Agentic AI, including jailbreaks, data leakage, and unsafe tool use
• Build and maintain metrics, monitoring, and evaluation capabilities for AI/ML applications
• Collaborate with engineering and security teams to develop AI threat models, security controls, and guardrails
• Investigate vulnerabilities and unexpected behavior across LLMs, AI agents, APIs, and supporting infrastructure
• Contribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automation
• Write scalable, secure, and maintainable code, primarily in Python
• Develop unit, integration, functional, and security tests
• Participate in code reviews, troubleshooting, production support, and security assessments
• Stay current with emerging AI security threats, attack techniques, and defensive strategies

Explore AI/ML Security Engineer at CrewBloom. Review requirements and application details.