Resume Screening Agent

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System Name:

Resume screening Agent
Architecture:

Hierarchical multi-agent
Coordinator Agent:

Screening Orchestrator
Worker Agents:

Parser; Skill Matcher; Ranker
Safety Layer:

Bias checks + approvals
Category:

Description

Planning:

Job criteria decomposition
Messaging:

Event bus + ranking output
Reflection:

Mismatch & gap analysis
Knowledge:

Resume + JD embeddings
Execution:

Parallel resume evaluation
Business Impact:

Faster shortlisting

Resume Screening

This system uses a hierarchical multi-agent architecture to automate candidate evaluation. A screening orchestrator coordinates parsing, skill matching, and ranking through specialized worker agents.

Fair and Controlled Candidate Evaluation

Built-in bias checks and approval layers help ensure objective assessments, consistent shortlisting, and compliance with hiring standards while reducing manual effort.

Watch Demo

Video Title:

Resume Screening Agent
Duration:

03:03

Outcome & Benefits

Autonomy:

90% automated screening
Time Saved:

From weeks to hours
Cost Reduction:

-$35k/yr recruiting ops
Reliability:

Deterministic scoring

Technical Details

Planner Type:

AI-driven
Agent Roles:

Coordinator + N workers
Scheduling:

Event-driven
Tool Router:

Policy-based
Evaluation Metrics:

Match score accuracy
Auditability:

All screening steps logged

FAQ

1. What is the Resume Screening system?

It is a hierarchical multi-agent system that automates resume parsing, skill matching, and candidate ranking to support efficient and fair hiring decisions.

2. How does the Resume Screening system work?

The Screening Orchestrator coordinates worker agents that parse resumes, match candidate skills against job requirements, and rank candidates based on defined criteria and scoring models.

3. What roles do the agents play in this system?

The Screening Orchestrator manages the workflow, Parser agents extract structured data from resumes, Skill Matcher agents evaluate candidate skills against job criteria, and Ranker agents score and prioritize candidates.

4. How does the system address bias and fairness?

A safety layer with bias checks and approval workflows helps ensure fair evaluation by monitoring scoring patterns, reducing unconscious bias, and supporting human-in-the-loop review.

5. What types of resumes and formats are supported?

The system supports common resume formats such as PDF and Word and can process resumes across multiple job roles and industries.

6. Who uses the Resume Screening system?

Recruiters, Hiring Managers, Talent Acquisition Teams, and HR Operations use this system to streamline candidate screening and shortlisting.

7. What are the benefits of automating resume screening?

Automation speeds up hiring, improves screening consistency, reduces manual effort, enhances candidate quality, and maintains fairness through bias controls and approvals.

Case Study

Industry:

HR / Recruitment
Problem:

Manual resume screening
Solution:

AI-based multi-agent screening
Outcome:

Top candidates auto-ranked
ROI:

$30k savings

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