quantum-ai-v2/job_posting_generator/n8n_workflows

Job Posting Generator Agent - N8N Workflow

Overview

This directory contains the N8N workflow configuration for the Job Posting Generator Agent, which creates comprehensive, professional job postings that attract qualified candidates.

Workflow Files

• workflow.json - Production workflow for N8N import
• workflow_dev.json - Development/testing version (optional)
• workflow_backup.json - Backup version for disaster recovery

Webhook Configuration

• Webhook URL: Configured via N8N_WEBHOOK_JOB_POSTING environment variable
• HTTP Method: POST
• Expected Data Format:

  {
    "position": "Senior Python Developer",
    "company": "Tech Startup Inc",
    "location": "New York, NY",
    "experience_level": "senior",
    "salary_range": "$120,000 - $150,000",
    "responsibilities": ["API development", "Team leadership"],
    "skills": ["Python", "Django", "PostgreSQL"],
    "industry": "fintech"
  }
  

Setup Instructions

1. Import Workflow to N8N

1. Open your N8N instance
2. Click "Import from File" or "Import from URL"
3. Upload the workflow.json file
4. Configure credentials (OpenAI API key, etc.)
5. Activate the workflow

2. Configure Webhook URL

1. Copy the webhook URL from N8N
2. Set environment variable: N8N_WEBHOOK_JOB_POSTING=https://your-n8n.com/webhook/job-posting
3. Restart your Django application

3. Test the Workflow

# Test via Django application
python manage.py test_webhook job_posting_generator

# Or test directly via curl
curl -X POST https://your-n8n.com/webhook/job-posting \
  -H "Content-Type: application/json" \
  -d '{"position":"Software Engineer","company":"Acme Corp","location":"Remote","experience_level":"mid"}'

Workflow Components

• Webhook Node: Receives requests from Django application
• AI Processing: Uses OpenAI GPT-4 for job posting generation
• Industry Optimization: Tailors language for specific industries
• Compliance Check: Ensures legal compliance and inclusive language
• Response Node: Returns structured job posting content
• Error Handling: Manages generation failures and validation errors

Expected Response Format

{
  "success": true,
  "job_posting": {
    "title": "Senior Python Developer",
    "company_overview": "Join our innovative fintech startup...",
    "job_description": "We are seeking an experienced Python developer...",
    "key_responsibilities": [
      "Design and implement scalable APIs",
      "Lead technical discussions and code reviews",
      "Mentor junior developers"
    ],
    "requirements": {
      "required": ["5+ years Python experience", "Django framework"],
      "preferred": ["PostgreSQL", "AWS experience", "Team leadership"]
    },
    "benefits": [
      "Competitive salary and equity",
      "Health, dental, vision insurance",
      "Flexible work arrangements"
    ],
    "application_instructions": "Send resume and cover letter to...",
    "equal_opportunity_statement": "We are an equal opportunity employer..."
  },
  "seo_keywords": ["python developer", "django", "fintech"],
  "posting_platforms": ["linkedin", "indeed", "glassdoor"]
}

Industry Specializations

• Technology/Software
• Healthcare
• Finance/Fintech
• Marketing/Advertising
• Manufacturing
• Education
• Non-profit
• Government

Compliance Features

• Equal opportunity language
• ADA compliance considerations
• Salary transparency requirements
• Location-specific labor law compliance
• Inclusive language recommendations

Troubleshooting

• Generic postings: Provide more company and role specifics
• Compliance warnings: Review generated content for bias
• Missing requirements: Ensure all mandatory fields are provided
• Industry mismatch: Verify industry parameter is correct

Best Practices

• Provide detailed company culture information
• Specify exact technical requirements
• Include growth opportunities and career path
• Use inclusive, welcoming language
• Optimize for relevant job board algorithms
• A/B test different posting variations