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API · AI · Recruiting Intelligence

AI JobMatch
API

An AI-powered resume and candidate intelligence API combining LLM analysis, semantic embeddings, and keyword overlap into a 0–100 match score — with bulk ranking, skill gap detection, and cover letter generation in under 3 seconds.

REST API LLM Semantic Embeddings PDF Support RapidAPI Railway
Live API ↗

0–100

Match Score

50

Candidates / Batch

<3s

Response Time

ATS

Resume Scoring

01 / Problem

Resume screening is slow, inconsistent, and doesn't scale

Recruiters spend an average of 7 seconds scanning a resume. At volume, this becomes the bottleneck in every hiring pipeline — and keyword-based ATS filters miss qualified candidates while letting irrelevant ones through. Teams building recruiting tools, HR platforms, or job boards need programmatic candidate intelligence that goes beyond simple string matching.

02 / Approach

Hybrid scoring: LLM reasoning + semantic embeddings + keyword overlap

AI JobMatch API combines three signals into a single 0–100 match score. The LLM layer reasons about candidate fit in context — understanding that "built RESTful services" and "REST API development" mean the same thing. Semantic embeddings capture meaning beyond exact vocabulary. Keyword overlap adds precision for role-critical technical requirements. The combined score is returned alongside a match-level classification and an interview probability estimate.

Beyond single-candidate matching, the batch ranking endpoint evaluates up to 50 candidates concurrently using parallel LLM calls — returning a ranked shortlist in under 3 seconds. Resume analysis provides ATS compatibility scores, format feedback, and skill extraction. The skill gap endpoint identifies missing competencies ranked by hiring impact. Cover letter generation produces personalised, role-specific letters with configurable tone and language. PDF uploads are supported natively with server-side text extraction.

03 / Result

Candidate intelligence as a single API call for any recruiting product

Job boards, ATS platforms, and HR tools can embed AI-powered candidate matching without training their own models or managing LLM infrastructure. A single API call replaces weeks of ML engineering — and the same endpoint handles everything from solo job seekers checking their resume to enterprise teams ranking hundreds of applicants per day. Available on RapidAPI with a free tier for prototyping and Pro and Enterprise plans for production workloads.

Key Features
  • Hybrid 0–100 match score: LLM + semantic embeddings + keyword overlap
  • Match level classification and interview probability estimate
  • Batch ranking of up to 50 candidates with concurrent LLM calls
  • ATS compatibility scoring with format and content feedback
  • Skill gap analysis ranked by hiring impact
  • Personalised cover letter generation with tone and language options
  • Native PDF upload with server-side text extraction