Prompt Security AI Engineer

Strong software-engineering fundamentals—scripting, programming, and automation (especially Python)—for building security tooling, guardrails, and evaluation harnesses, with sound practices in version control, testing, and CI/CD. Working knowledge of GenAI/LLM and agentic design patterns and protocols (agents, MCP) and prompt-security concepts (prompt injection, jailbreaks, tool misuse). Working knowledge of Identity and Access Management and data security/privacy controls (PHI/PII, encryption). Applied understanding of the NIST AI RMF and OWASP Top 10 for LLM. Strong written and verbal communication, including explaining AI security risks to non-technical stakeholders.