Resume Screener — Ai Endpoint Template for Extractor

What It Does

Send a resume and a job description — get back a match score (0-100), lists of matched and missing skills, years of experience, education fit, a summary assessment, and a recommendation (advance, maybe, reject).

Example

Input: Resume of a Python developer with 5 years experience + job description for a Senior Backend Engineer requiring Python, PostgreSQL, and AWS.

Output:

{
  "match_score": 74,
  "matched_skills": ["Python", "PostgreSQL", "REST APIs", "Docker"],
  "missing_skills": ["AWS", "Terraform", "System Design at scale"],
  "years_experience": 5,
  "recommendation": "maybe",
  "summary": "Strong Python and database skills. Missing AWS cloud experience and large-scale system design. Could be a fit with a ramp-up plan for cloud infrastructure."
}

When To Use This

• High-volume recruiting — screen hundreds of applicants and surface the top matches for human review
• Consistent evaluation — every candidate scored against the same criteria, reducing unconscious bias in initial screening
• Recruiter efficiency — focus human review on the "maybe" band where judgment matters most