As a Secure AI Engineer on our team, you’ll advise clients on the secure design, deployment, and governance of AI systems and generative AI applications. You’ll conduct AI red team assessments against large language models (LLMs), retrieval-augmented generation (RAG) systems, AI agents, and multi-agent workflows. You will identify and demonstrate AI-specific attack vectors, including prompt injection, jailbreaks, indirect prompt injection, data poisoning, model inversion, extraction, and other adversarial techniques. You will develop recommendations and technical mitigations to improve AI system security, resilience, and trustworthiness. You will build, test, and evaluate agentic AI systems using modern orchestration frameworks and assess their security posture, design security testing methodologies, automation, and tooling for AI applications throughout the development lifecycle, and adapt and extend open-source AI frameworks, security tools, and evaluation platforms to meet client-specific requirements. You’ll stay current with emerging AI threats, vulnerabilities, research, and industry best practices in this fast-paced world of AI.