Remote Full-Stack AI Engineer: IAM & Identity Security

Ryz Labs; Municipio de Esquel; Presencial; ARS 134.492.961 - 224.154.936; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

Ryz Labs is seeking a Full Stack AI Engineer to design and implement scalable identity experiences across our platforms, from frontend UX to backend services and AI models.

You will work on authentication, authorization, identity verification, fraud detection, and personalization in a privacy-first environment, collaborating across product, security, and platform teams to deliver robust systems.

Formación

• Experience with production-grade AI/ML systems.
• Strong knowledge of identity and access management concepts.
• Proficiency in securing APIs and data.

Responsabilidades

• Design, build, and maintain full-stack applications powering IAM experiences.
• Develop and integrate AI/ML models for identity use cases including fraud detection and identity verification.
• Lead SSO migrations across products and platforms, consolidating authentication flows with minimal user disruption.
• Drive domain consolidation by unifying identity systems and data models across platforms.
• Improve DevEx by building internal tools, APIs, SDKs, and documentation for identity integrations.
• Design secure, scalable APIs for authentication, authorization, and identity data services.
• Collaborate with Security, Platform, and Product teams to standardize OAuth 2.0, OpenID Connect, SAML, JWT patterns.
• Ensure AI-powered identity systems are observable and production-ready with monitoring and feedback loops.
• Balance security, performance, and usability while maintaining privacy and compliance.
• Contribute to architectural decisions and code quality standards.

Descripción del empleo

Ryz Labs is seeking a Full Stack AI Engineer to design and implement scalable identity experiences across our platforms, from frontend UX to backend services and AI models.

You will work on authentication, authorization, identity verification, fraud detection, and personalization in a privacy-first environment, collaborating across product, security, and platform teams to deliver robust systems.