Full Stack AI Engineer – BuilderEx

Remote position, only for professionals based in Argentina or UruguayAt Ryz Labs we are looking for a Full Stack AI Engineer – BuilderEx to build intelligent, secure, and scalable identity experiences across our platforms. In this role, you will work end-to-end—from frontend UX to backend services and AI models—focusing on authentication, authorization, identity verification, fraud detection, and [link removed] role combines full stack engineering, AI/ML integration, and identity architecture, with close collaboration across product, security, and platform teams to deliver privacy-first, highly reliable systems.

Essential Responsibilities:

Design, build, and maintain full-stack applications powering identity and access management (IAM) [link removed] and integrate AI/ML models for identity use cases such as fraud detection, anomaly detection, risk-based authentication, and identity [link removed] and execute SSO migrations across products and platforms, consolidating authentication flows while minimizing user [link removed] domain consolidation initiatives by unifying identity systems, services, and user data models across multiple platforms or [link removed] developer experience (DevEx) by building internal tools, SDKs, APIs, and documentation that simplify identity [link removed] and evolve secure, scalable APIs supporting authentication, authorization, and identity data [link removed] 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 [link removed] AI-powered identity systems are observable, explainable, and production-ready, with robust monitoring and feedback [link removed] security, performance, and usability while maintaining high standards for privacy and [link removed] to architectural decisions, technical design discussions, and code quality standards.

Qualifications / Requirements of the Position:

5+ years of experience as a Full Stack Engineer, Platform Engineer, or AI Engineer with ownership of production [link removed] proficiency in JavaScript/TypeScript and modern frontend frameworks (React, [link removed], or equivalent).Backend development experience with Python, Java, or [link removed], including building secure, scalable [link removed]-on experience delivering AI/ML solutions into production [link removed] understanding of identity and access management (IAM) concepts, including authentication, authorization, and identity [link removed] experience leading or contributing to SSO migrations using OAuth 2.0, OpenID Connect, and/or [link removed] with domain consolidation or identity unification initiatives across multiple applications or [link removed] ability to improve developer experience (DevEx) through internal tooling, APIs, SDKs, or platform [link removed] 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 [link removed] to collaborate cross-functionally and communicate complex technical concepts clearly.

Knowledge, Skills, and Abilities Required:

Background in cybersecurity, fraud detection, trust & safety, or abuse [link removed] with graph-based ML, NLP for security signals, or time-series anomaly [link removed] of adversarial ML, model evasion techniques, or secure model [link removed] building systems operating under strict latency or reliability [link removed] work in regulated or high-risk [link removed] certifications or relevant coursework (e.g., OSCP, CISSP concepts).Experience with SIEM/SOAR tools or security telemetry [link removed], talks, or open-source contributions in AI, security, or related fields.

Originally posted on Himalayas