AI Security Engineer (Application Security)

📋 Description

• Perform threat modelling and security design reviews for AI/LLM features.
• Collaborate with security, engineering and data science to mitigate vulnerabilities.
• Review AI architecture: RAG pipelines, agent flows and model APIs.
• Test AI features for prompt injection and data leakage.
• Define guardrails and input/output validation for AI systems.
• Build secure-by-default patterns to ship AI features safely.

🎯 Requirements

• Application security experience including secure code review and threat modelling.
• Excellent written and spoken English.
• Higher education in IT or equivalent practical experience.
• Understanding of LLM/ML systems and their failure modes.
• Experience with at least one language (Java, Python, JS) and scripting.
• Strong analytical skills and cross-team collaboration.

🎁 Benefits

• Collaboration and teamwork to solve challenges.
• Mentorship, training, and hands-on development.
• Ownership to improve security.
• Diverse perspectives and backgrounds.