🛠 Tech Stack

💼 About This Role

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

🎯 What You'll Do

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

📋 Requirements

• 5-8 years of experience in security engineering or AI governance
• Strong Python scripting and automation skills
• Experience with policy-as-code frameworks or compliance tooling
• Understanding of AI security risks including prompt injection and runtime controls

✨ Nice to Have

• Experience with Saviynt, ServiceNow, or IAM tools
• Familiarity with AI governance standards and responsible AI frameworks
• Bachelor's degree in Computer Science or related field

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 💡 Cutting-edge AI security initiatives
• 📈 Career growth in evolving AI domain
• 🤝 Collaborative and innovation-driven team
• ⚡ High-impact role influencing enterprise AI strategies

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min