AI Job Application Agency

Autonomous AI agents that find and apply to jobs on your behalf.

Overview

This system operates as a personal job-hunting team running in the background. It discovers relevant jobs, customizes applications, submits them automatically, and follows up - all without human intervention.

Demo

Features

• Multi-source job discovery with relevance scoring
• AI-powered resume customization per job
• Automated cover letter generation with keyword matching
• Silent background applications with full tracking
• Intelligent follow-up scheduling
• Adaptive learning from application outcomes

Tech Stack

• Python 3.9+
• Groq API (fast inference for filtering/ranking)
• Gemini API (high-quality content generation)
• SQLite (application tracking)
• JSON (user profiles, job cache)

Installation

# Clone and install
git clone <repo>
cd job_agent
pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env with your API keys

Quick Start

# 1. Create user profile
python cli.py init-profile

# 2. Run job discovery
python cli.py discover --max-jobs 50

# 3. Apply to top matches
python cli.py apply --auto --min-score 0.7

# 4. Check application status
python cli.py status

# 5. Send follow-ups
python cli.py followup --days-since 3

Configuration

All settings in config/settings.json:

• Job discovery sources
• LLM preferences (model selection, temperature)
• Application rules (min score, max daily applications)
• Follow-up timing

Project Structure

job_agent/
├── agents/              # Core agent modules
│   ├── discovery.py     # Job scraping & filtering
│   ├── resume.py        # Resume customization
│   ├── application.py   # Auto-application logic
│   └── followup.py      # Follow-up generation
├── core/                # Infrastructure
│   ├── llm.py          # LLM client wrapper
│   ├── database.py     # SQLite operations
│   └── memory.py       # Learning system
├── config/              # Configuration files
├── data/                # User data & cache
├── cli.py              # Command-line interface
└── main.py             # Orchestration engine

Production Considerations

• Rate limiting on all API calls
• Exponential backoff for retries
• Comprehensive logging
• Error recovery mechanisms
• Cost tracking per application
• Privacy-first data handling

Roadmap

• LinkedIn API integration
• Email-based application submission
• Interview scheduling agent
• Salary negotiation agent
• Multi-user support (SaaS mode)
• Web dashboard

License

Proprietary - All rights reserved