🛠 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 cross-functional teams to build resilient safeguards for LLM-based applications. This role combines innovation and risk management in a fully remote environment.

🎯 What You'll Do

• Design and implement runtime AI protection mechanisms including prompt filtering and output validation.
• Build governance-by-design frameworks through automation and policy-driven enforcement.
• Develop reusable AI safety standards for LLM-enabled platforms.
• Identify and mitigate AI-related risks like prompt injection and data leakage.
• Collaborate with engineering, security, and governance teams to deploy AI safeguards.

📋 Requirements

• 5–8 years of experience in security engineering or AI governance.
• Strong hands-on expertise in Python scripting and automation.
• Experience with policy-as-code frameworks or automated compliance tooling.
• Solid understanding of AI security risks including prompt injection and misuse prevention.

✨ Nice to Have

• Experience with enterprise platforms like Saviynt or ServiceNow.
• Familiarity with IAM tools or workflow approval systems.

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 🚀 Cutting-edge AI security initiatives
• 🧑‍🤝‍🧑 Collaborative and innovation-driven technical environment
• 📈 Career growth in AI domain
• 💰 Competitive compensation based on experience

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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