Description

Design, develop, and maintain full-stack Identity & Access Management (IAM) applications while integrating production-ready AI/ML models for fraud detection, anomaly detection, and identity verification.

Responsibilities

• Build and integrate AI/ML models for fraud detection, anomaly detection, and risk-based authentication.
• Lead Single Sign-On (SSO) migrations and unify identity systems through domain consolidation.
• Design secure, scalable APIs for authentication and authorization using OAuth 2.0, OpenID Connect, SAML, and JWT.
• Enhance Developer Experience (DevEx) by creating internal tools, SDKs, and documentation.
• Ensure AI systems are observable, explainable, and production-ready while balancing security, performance, and compliance.

Required Skills

• 5+ years of experience as a Full Stack, Platform, or AI Engineer.
• Strong expertise in JavaScript/TypeScript with frontend frameworks like React or Next.js.
• Backend experience with Python, Java, or Node.js.
• Hands-on experience deploying AI/ML solutions in production environments.
• Deep understanding of IAM concepts, including authentication, authorization, and identity lifecycle management.
• Proven experience with SSO implementations and domain consolidation across multiple systems.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Preferred Skills

• Background in cybersecurity, fraud detection, or trust & safety.
• Experience with graph-based machine learning, NLP for security signals, or time-series anomaly detection.

Key Skills

Education

Any Gradute