AI Security Engineer

Responsibilities

• Develop validators for prompt inputs
• Create output guards against insecure execution
• Support redaction and PII-protection features
• Write unit tests to maintain code quality
• Auxiliary in integrating libraries with developer workflows, CI/CD pipelines, and common frameworks

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• Basic programming skills in Java, .NET or Python
• Understanding of secure coding principles and OWASP basics
• Familiarity with GitHub and CI/CD tools
• Exposure to or strong interest in cloud AI/ML frameworks (e.g., AWS Bedrock, Azure OpenAI, GCP Vertex AI)
• Detail-oriented mindset with the ability to write clean, testable code

Behaviors

• Attention to Detail: Writes code carefully, validates against requirements, and tests thoroughly before handoff.
• Learning Agility: Demonstrates eagerness to learn from senior engineers and quickly applies new knowledge.
• Communication: Clearly explains challenges, asks for help when needed, and shares progress in standups or documentation.
• Ownership: Takes responsibility for small features or tasks and delivers them reliably.
• Security Mindset: Practices a security-first approach in coding decisions and anticipates potential risks in implementation.