Full-Stack Engineer, Identity & Security
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Job Description
Identity & Security Engineer responsible for designing security foundations for AI orchestration Layer. Collaborating to ensure authorization and auditing for actions and workflows across platforms.
Responsibilities:
- Design and implement the identity, access, and security foundation of the Human-Led AI Orchestration Layer
- Ensure that every Action Point™, AI decision, and workflow is securely authorized, auditable, and aligned with human intent
- Implement and manage authentication using Clerk across frontend and backend
- Design RBAC and permission models aligned with human-led decision workflows
- Implement secure session handling, JWT validation, and token lifecycles
- Integrate identity flows with FastAPI (Python) backend services
- Support secure authentication flows in React + TypeScript frontend applications
- Ensure consistent authorization enforcement across APIs, services, agents, tools, and data access layers
- Implement best practices for OAuth2, JWT, CORS, CSRF protection, and rate limiting
- Harden APIs and identity boundaries for multi-tenant SaaS use cases
- Document identity architecture and provide knowledge transfer to the team
- Design and implement identity and permission models for AI agents, tools, and automated workflows
- Define and enforce capability-based permission scopes for agents
Requirements:
- Hands-on experience implementing authentication and authorization in web applications
- Strong experience with Clerk (or equivalent identity providers)
- Deep understanding of OAuth2, JWT, and session management
- Experience with FastAPI (Python) backend systems
- Frontend integration experience with React + TypeScript
- Strong security fundamentals and threat-model awareness
- Proficiency with Git and remote collaboration
- Preferred Qualifications: Experience with Azure deployments and DevOps workflows, familiarity with Infrastructure-as-Code, experience implementing RBAC in multi-tenant SaaS platforms, background securing workflow or decision-support systems.
Benefits:
- Flexible Hours & Compensation
- 20–40 hours per week depending on role scope and workload
- Fixed monthly stipend aligned to responsibilities and expected ownership
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