🛠 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, security, and governance teams to build resilient safeguards for LLM-based systems and intelligent workflows. This fully remote role offers a high-impact opportunity to shape responsible AI practices in enterprise environments.

🎯 What You'll Do

• Design 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 AI agents and LLM-enabled 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 hands-on expertise in Python scripting and automation.
• Experience with policy-as-code frameworks, rule engines, or automated compliance tooling.
• Solid understanding of AI security risks including prompt injection and misuse prevention.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work environment with flexibility and autonomy
• 🔬 Cutting-edge AI security and governance initiatives
• 📈 Career growth in rapidly evolving AI domain
• 🏢 Enterprise-scale exposure to AI and LLM platforms
• 💰 Competitive compensation based on experience

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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