🛠 Tech Stack

💼 About This Role

You'll design and implement runtime AI protection mechanisms for enterprise systems, ensuring governance and compliance at scale. You'll collaborate with engineering and security teams to build resilient safeguards for LLM-based applications.

🎯 What You'll Do

• Design runtime AI protection mechanisms like prompt filtering and output validation.
• Build governance-by-design frameworks via automation and policy-driven enforcement.
• Develop reusable AI safety standards for agents and LLM platforms.
• Identify and mitigate AI risks such as prompt injection and data leakage.

📋 Requirements

• 5-8 years in security engineering or AI governance.
• Hands-on Python scripting and automation expertise.
• Experience with policy-as-code frameworks or automated compliance tooling.
• Understanding of AI security risks like prompt injection and misuse prevention.

✨ Nice to Have

• Familiarity with AI governance standards and responsible AI frameworks.
• Experience with enterprise platforms like Saviynt or ServiceNow.

🎁 Benefits & Perks

• 🌍 Fully remote work environment
• 🔥 Cutting-edge AI security initiatives
• 📈 Career growth in evolving AI domain
• 🤝 Collaborative technical team
• 💵 Competitive compensation package

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min