adk_hiring_agent

Name: adk_hiring_agent
Author: akajammythakkar

akajammythakkar November 17, 2025

11 copies 0 downloads

Build an AI-powered Hiring Agent using Google ADK and Gemini 3 to analyze resumes, assess skills, and match candidates to roles through intelligent, multi-agent collaboration.

AI-Powered Conversational Hiring Agent

Welcome to the Codelab for building an AI-Powered Conversational Hiring Agent System using Google's ADK (Agent Development Kit) and Gemini 3 models!

final photoo adk

Made with ❤️ for the open source

Follow the Codelab: codelab

Overview

This Codelab teaches you how to build a sophisticated multi-agent system that automates technical candidate evaluation through a conversational interface. The system uses specialized AI agents to evaluate resumes, validate GitHub profiles, and provide comprehensive hiring recommendations.

What You'll Build

A complete hiring automation system featuring:

5 Specialized AI Agents: RubricBuilder, ResumeReviewer, GitHubValidator, GitHubReviewer, VerdictSynthesizer
1 Root Orchestrator: Conversational coordinator that manages the evaluation workflow
Real-time GitHub API Integration: Live account validation and metrics
Structured Evaluation Framework: Objective, measurable criteria with scoring
End-to-End Workflow: From job description to final HIRE/NO HIRE decision

Technologies Used

Google ADK (Agent Development Kit) - Agent framework
Gemini 3 Model - LLM for agent intelligence
Python 3.8+ - Programming language
GitHub REST API - Account validation
python-dotenv - Environment management
requests - HTTP client library

Key Concepts You'll Learn

Multi-Agent Systems: Coordinating multiple specialized agents
Prompt Engineering: Crafting effective agent instructions
Tool Calling: Using agents as tools for other agents
Conversation Management: State tracking across multiple turns
API Integration: Real-time external data fetching
Structured Evaluation: Building objective assessment frameworks
System Design: Architecting scalable AI applications

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