AI Application Security Engineer
Core
Securing AI-powered applications, APIs, GenAI solutions, and RAG systems across enterprise and engineering environments, focusing on application-layer security, authentication, and data access patterns.
Role type
Mid-Senior AI Application Security Engineer
Builds
Secure AI application architectures, security controls, and testing frameworks for internal enterprise and engineering use.
Domain
Semiconductor industry, AI/ML Security, Application Security
Deliverable
production ML models
Required skills
Application Security, API Security, Secure Coding, Cloud-Native Security, AI/ML Security (Prompt Injection, RAG, LLMs), Penetration Testing, SSDLC, Authentication & Authorization, Risk Assessment, Cloud Platforms (AWS/Azure)
Preferred skills
OWASP Top 10 for LLM Applications, NIST AI RMF, MITRE ATLAS, Vector Databases, Container Security, IAM, Secrets Management
Technologies
AWS, Azure, Vector Databases, LLMs, RAG Pipelines
Responsibilities
Conduct security assessments and design reviews for AI/GenAI apps, review AI integrations (APIs, plugins, RAG), evaluate AI-specific risks (prompt injection, data leakage), support SSDLC for AI apps, implement secure coding and auth mechanisms, perform AI app/API penetration testing, validate secure use of AI coding assistants.
Seniority
Mid-Senior, hands-on IC (5+ years total, 2+ years AI security)
