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AI-Powered Job Matching

Business Need​

Automatically match candidate resumes to open job positions by analyzing skills, experience, and qualifications, reducing manual screening time and improving hiring quality.

Solution Overview​

This solution leverages Abacus.AI's AI Workflow capabilities to create an intelligent candidate matching system:

Step 1: Document Ingestion & Parsing

  • Input: Recruiters upload PDF resumes through a web interface
  • PDF Parsing: AI Workflow automatically extracts text, structure, and metadata from resume PDFs
  • Entity Extraction: Identifies key information including skills, experience, education, certifications, and contact details
  • Normalization: Standardizes extracted data for consistent matching

Step 2: Job Position Repository

  • Job Database: Existing job descriptions are stored as structured documents
  • Document Retriever: A document retriever is created over the job position database
  • Semantic Indexing: Job requirements are embedded for semantic similarity matching
  • Metadata: Jobs are tagged with required skills, experience levels, and qualifications
💡Important

AI Workflows excel at multi-step document processing tasks like this. The agentic framework can reason about document content, call retrieval tools, and orchestrate complex matching logic that simple chatbots cannot handle.

Step 3: Intelligent Matching Process

The AI Workflow orchestrates a sophisticated matching pipeline:

  1. Initial Retrieval: Document retriever finds top 20 job matches based on semantic similarity
  2. Detailed Analysis: LLM analyzes candidate resume against each job description in detail
  3. Scoring: Generates match scores (0-100) based on skills alignment, experience fit, and qualification match
  4. Ranking: Reranks candidates using LLM reasoning about nuanced fit factors
  5. Explanation: Provides detailed reasoning for each match, highlighting strengths and gaps

Step 4: Custom UI with DeepAgent

A custom DeepAgent application is built on top of the AI Workflow API:

  • Recruiter Dashboard: View all candidate matches, scores, and explanations
  • Filtering: Filter by minimum score, required skills, or specific roles
  • Feedback Loop: Recruiters can provide feedback to improve future matches

How It's Used in Practice​

The job matching system streamlines the entire candidate screening process:

Recruiter Flow:

  1. Recruiter reviews new candidate submissions in the dashboard
  2. Views match scores and AI-generated fit assessments
  3. Quickly identifies top candidates for each open position
  4. Downloads shortlists for interview scheduling
  5. Provides feedback on match quality to improve the system

Hiring Manager Flow:

  • Access pre-screened, ranked candidates for their open positions
  • Review AI explanations of why each candidate is a good fit
  • Focus time on evaluating top matches rather than manual screening

✨Key Outcomes

Key achievements:

⏱️ Reduction in screening time​

From hours of manual resume review to minutes

📈 3x increase in candidate throughput​

Process more applicants without adding recruiters

Additional Information​