AI Security Engineer (Application Security)

📋 Description

• Threat modelling and security design reviews for AI/LLM-powered apps.
• Identify and mitigate vulnerabilities with security, engineering and data science teams.
• Review AI app security: RAG pipelines, agent/tool-calling flows, model APIs.
• Test AI features adversarially for prompt injection, data leakage, jailbreaks.
• Define guardrails, input/output validation and monitoring for AI systems.
• Build secure-by-default patterns to ship AI features safely.

🎯 Requirements

• Application security experience (secure code review, threat modelling, vulnerability mgmt)
• Great written and spoken English.
• Higher education in IT or equivalent practical experience.
• Understand how LLM/ML systems are built and deployed; know failure modes.
• Experience with at least one language (Java/Python/JavaScript) and scripting.
• Strong analytical skills and proactive cross-team collaboration.

🎁 Benefits

• Collaborative culture and teamwork to solve challenges.
• Mentorship and ongoing training opportunities.
• Ownership to improve security and security practices.