[Remote] Full Stack AI Engineer – BuilderEx

Note: The job is a remote job and is open to candidates in USA. Ryz Labs is seeking a Full Stack AI Engineer – BuilderEx to create intelligent identity experiences across their platforms. This role involves building full-stack applications and integrating AI/ML models for identity verification and fraud detection, while collaborating closely with product, security, and platform teams.

Responsibilities

• Design, build, and maintain full-stack applications powering identity and access management (IAM) experiences
• Develop and integrate AI/ML models for identity use cases such as fraud detection, anomaly detection, risk-based authentication, and identity verification
• Lead and execute SSO migrations across products and platforms, consolidating authentication flows while minimizing user disruption
• Drive domain consolidation initiatives by unifying identity systems, services, and user data models across multiple platforms or brands
• Improve developer experience (DevEx) by building internal tools, SDKs, APIs, and documentation that simplify identity integrations
• Design and evolve secure, scalable APIs supporting authentication, authorization, and identity data services
• Partner closely with Security, Platform, and Product teams to implement and standardize protocols and patterns such as OAuth 2.0, OpenID Connect, SAML, JWT, and zero-trust architectures
• Ensure AI-powered identity systems are observable, explainable, and production-ready, with robust monitoring and feedback loops
• Balance security, performance, and usability while maintaining high standards for privacy and compliance
• Contribute to architectural decisions, technical design discussions, and code quality standards

Skills

• 5+ years of experience as a Full Stack Engineer, Platform Engineer, or AI Engineer with ownership of production systems
• Strong proficiency in JavaScript/TypeScript and modern frontend frameworks (React, Next.js, or equivalent)
• Backend development experience with Python, Java, or Node.js, including building secure, scalable APIs
• Hands-on experience delivering AI/ML solutions into production environments
• Solid understanding of identity and access management (IAM) concepts, including authentication, authorization, and identity lifecycle
• Proven experience leading or contributing to SSO migrations using OAuth 2.0, OpenID Connect, and/or SAML
• Experience with domain consolidation or identity unification initiatives across multiple applications or platforms
• Demonstrated ability to improve developer experience (DevEx) through internal tooling, APIs, SDKs, or platform improvements
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes)
• Strong security mindset, including experience designing systems with privacy, compliance, and resilience in mind
• Ability to collaborate cross-functionally and communicate complex technical concepts clearly
• Background in cybersecurity, fraud detection, trust & safety, or abuse prevention
• Experience with graph-based ML, NLP for security signals, or time-series anomaly detection
• Knowledge of adversarial ML, model evasion techniques, or secure model design
• Experience building systems operating under strict latency or reliability constraints
• Prior work in regulated or high-risk environments
• Security certifications or relevant coursework (e.g., OSCP, CISSP concepts)
• Experience with SIEM/SOAR tools or security telemetry platforms
• Publications, talks, or open-source contributions in AI, security, or related fields

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