AI Platform Security Engineer

Fluid AI is seeking an AI Platform Security Engineer to secure their enterprise-level Agentic AI Platform. This hands-on role involves identifying, investigating, and remediating security vulnerabilities across Python services, JavaScript/TypeScript applications, Kubernetes, Docker containers, autonomous AI agents, APIs, databases, CI/CD pipelines, and cloud infrastructure. Key responsibilities include conducting security reviews of code, hardening infrastructure, implementing secure authentication and access controls, building automated security checks, and performing dependency analysis. The ideal candidate will have 1–4 years of experience in software or security engineering, strong proficiency in Python and JavaScript/TypeScript, and expertise in Linux, Docker, Kubernetes, and OWASP Top 10 vulnerabilities. Experience with SAST, DAST, container security, cloud platforms (AWS/Azure/GCP), and AI security (LLMs, autonomous agents) is a plus. This is a full-time remote role focused on building a security-first mindset and improving platform resilience.