Senior Software Engineer, AI Agentic Experience (auth0)

Okta Okta · Enterprise · San Francisco, CA · Emerging Tech-694

Senior Software Engineer role focused on building developer tooling, demo applications, and integration infrastructure for AI agents and secure AI use cases within the Auth0 platform. The role involves working with LLM APIs, agent runtimes, and orchestration layers to empower developers and AI agents in building secure applications.

What you'd actually do

  1. Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers
  2. Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments
  3. Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem
  4. Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt)
  5. Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers

Skills

Required

  • 5+ years of experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers
  • Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts
  • Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines
  • Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT
  • Demonstrated experience leading architecture and design efforts for scalable, production-grade systems
  • Comfort contributing to and maintaining open source projects and engaging with developer communities
  • A passion for documentation as part of the developer experience—not just writing code, but making it understandable and usable
  • Ability to thrive in highly collaborative environments with cross-functional stakeholders

What the JD emphasized

  • building infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications
  • agent runtimes
  • orchestration frameworks
  • agent-to-agent or model-to-service communication

Other signals

  • building infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications
  • Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers
  • Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication