How does RChilli support job and skill intelligence tuning?

RChilli supports job and skill intelligence tuning through its advanced Taxonomy 3.0, which provides structured and enriched classification of job roles and skills. This enables more intelligent parsing, matching, and recommendation systems in HR applications.
 

Key Capabilities of RChilli's Job & Skill Intelligence:

1. Taxonomy-Driven Classification

• 3M+ skills and 2.4M+ job profiles are structured using global industry standards.
• Each job title is enriched with:
   
  • Aliases (e.g., "Software Developer" ↔ "Programmer")
  • Domains (e.g., Information, Health Care and Social Assistance, Finance and Insurance)
  • Job Zones (grouped by experience/complexity)
  • Related Skills (e.g., a "Data Analyst" would be linked to Python, SQL, and Reporting)
     

2. Access via Taxonomy API

• The Taxonomy API allows you to:
   
  • Fetch job titles and their related metadata (skill, aliases etc.)
  • Use this data to auto-suggest skills or normalize inputs during resume or JD parsing.
  • Integrate intelligent dropdowns or auto-complete features in your UI for better UX.
    
     

3. Enhanced Search and Matching

• Taxonomy improves search relevance and matching precision by:
   
  • Mapping related skills and job titles.
  • Eliminating keyword mismatches by connecting synonyms and aliases.
  • Powering semantic matching (e.g., recognizing "Frontend Engineer" and "UI Developer" as similar profiles).
     

 4. Job Profile Explainer

• RChilli provides a Job Profile Explainer that:
   
  • Breaks down a job title into its recommended skill set, and domain etc.
  • Helps recruiters and systems understand job role expectations contextually.
     

 Example Use Case: When parsing a resume that lists “DevOps Engineer” as the title, RChilli Taxonomy will:

• Identify related skills: Linux, Git, Kubernetes
• Suggest alternate titles: Application DevOps Engineer, DevOps Software Engineer
• Classify under the domain: Information
   

This enriched intelligence can then be used for better candidate-job alignment, analytics, and UI suggestions.

For more details, refer to:

• RChilli Taxonomy API Documentation
• Or contact support@rchilli.com