Staff-level engineer building developer tooling, demo apps, and integrations for AI agents and GenAI authentication at Auth0. Requires strong experience across JS/TS/Python stacks, LLM/agent frameworks, and auth standards.
174k – 238k/yr
Hybrid7+ YOEBackend Engineering
About the role
What you will be doing
Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers
Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments
Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem
Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt)
Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers
Collaborate with Design, Product, and Security teams to align on developer needs, roadmap direction, and compliance requirements
Mentor and Support Other Engineers, setting strong examples in code quality, testing practices, and architectural thinking
Influence Engineering Standards by leading design discussions and contributing to team-wide architectural decisions
Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication
You Might Be a Good Fit If You
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
Technologies You May Work With
Languages: JavaScript, TypeScript, Python
Frameworks: React, Next.js, FastAPI
AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits
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