Autonomous Hiring & Talent Management System

general · architecture diagram.

About This Architecture

Autonomous hiring platform orchestrates six specialized AI agents—Skill, Verify, Suggest, Test, Interview, and Upskill—through n8n workflow automation. React + Vite dashboard connects to Supabase for authentication, PostgreSQL storage, and real-time updates, while n8n coordinates agent interactions with Vector DB for RAG-based candidate matching and external integrations via LinkedIn API and GitHub API. Architecture demonstrates agentic AI design for end-to-end talent management, from candidate sourcing through skills verification to personalized upskilling recommendations, with Fairness Libraries ensuring bias-free hiring decisions. Fork this diagram on Diagrams.so to customize agent workflows, add compliance layers, or integrate additional HR systems like Workday or Greenhouse. Audit logs in Supabase PostgreSQL provide full traceability for regulatory compliance and hiring process optimization.

People also ask

How do you architect an autonomous AI hiring system with multiple specialized agents for end-to-end talent management?

Use n8n as the orchestration layer to coordinate specialized agents (Skill, Verify, Suggest, Test, Interview, Upskill) with a Supabase backend for auth and storage, Vector DB for RAG-based candidate matching, and external APIs for LinkedIn/GitHub sourcing. This diagram shows the complete four-layer architecture with audit logging and fairness controls.

Autonomous Hiring & Talent Management System

Autoadvancedagentic-aihr-techn8nsupabasevector-databaserecruitment-automation
Domain: Software ArchitectureAudience: HR technology architects building AI-powered recruitment platforms
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Created by

February 15, 2026

Updated

March 20, 2026 at 12:28 AM

Type

architecture

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