AI Security Engineer

Requirements

• 3-5+ years in software engineering, ML engineering, or application security
• Hands-on experience with AI/ML systems - LLMs, NLP models, or similar.
• Python proficiency for automation and scripting.
• Experience working with Claude Code.
• Strong understanding of cloud platforms: AWS, Azure, or GCP
• Experience with API security, Docker, Kubernetes
• Knowledge of AI-specific security risks and mitigations
• Experience conducting threat modeling and risk assessments.

Additional Information

We are looking for an AI Security Engineer to secure our AI-driven systems, including LLM-based applications, machine learning models, and AI-enabled automation tools. This role will focus on identifying, assessing, and mitigating security risks across the AI lifecycle - from model development and training to deployment and runtime monitoring. The ideal candidate combines strong security engineering experience with a deep understanding of machine learning systems and emerging AI-specific threats (e.g., prompt injection, model poisoning, data leakage, adversarial attacks). Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

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Company Intel

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