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HR & Talent Ops Resume Screening ATS Automation

Resume & Applicant
Screening AI Agent

Autonomously ingests PDF resumes from Lever, Greenhouse, Ashby, or application webhooks. Scores candidates 0–100 against structured job rubrics, highlights verified skill competencies, auto-schedules discovery interviews for top 5% talent, and drafts personalized rejection emails for non-matches.

Template Specifications

Agent RolePDF Resume Ingestion, Rubric Scoring, ATS Sync
Document FormatsPDF, DOCX, LinkedIn PDF Export, TXT
Screening Latency< 2.5 seconds per applicant
ATS IntegrationsGreenhouse, Lever, Ashby, Workable
Recruiter Time Saved80% reduction in initial resume review
Candidate Experience100% applicants acknowledged in <10m

Automated Triage Engine

Live Candidate Resume Screening Simulator

Select a candidate submission to see the AI recruiter parse qualifications, calculate rubric fit, and trigger next actions.

Resume Ingestion Stream — Live
Position: Lead Full-Stack AI Engineer ($180k–$220k)
Status: Evaluated
Recruiting Agent · Evaluation Complete (1.8s)
👤 Candidate: Maya Lin · 7 YOE (Ex-Stripe / OpenAI Ecosystem)
Role Fit: Lead Full-Stack AI Engineer Rubric Score: 96/100 (Tier 1 Fit)
Required Tech MatchTypeScript, Python, LangChain, Postgres (100%)
Architecture Exp.Distributed LLM systems & low-latency APIs
Leadership SignalLed squad of 5 engineers at scale
Location / CompSan Francisco (Hybrid) · In-budget
Autonomous Action: Moved applicant to "Screening Passed" in Ashby ATS; dispatched Calendly interview invitation link to Maya's email; posted candidate dossier to #eng-hiring in Slack.

Candidate Triage Pipeline

PDF ExtractionClaude Vision / PDF.js
Rubric CalibrationWeighted Scoring Matrix
Top 5% TriggerInstant Calendly Link
Non-Fit TriggerPolite Personalized Rejection

Evaluated Competencies

Tech Stack OverlapHard skills & library match
Seniority & ScopeTeam size & impact metrics
Tenure & ProgressionCareer growth trajectories
Compensation AlignmentBudget vs salary expectations

Hiring Velocity

Cut Time-to-Hire in Half While Improving Candidate Experience

80%
Reduction in initial recruiter resume screening hours
< 3 min
From application submission to first interview invitation
0%
Unconscious demographic bias (rubric-only scoring)
100%
ATS records updated with structured candidate dossiers

Screening Loop

How the Resume Screening Agent Operates

Ensures top talent is engaged immediately before they sign competing offers.

  1. 1

    Resume PDF Ingestion

    Ingests application webhooks from Greenhouse, Lever, Ashby, Typeform, or email inboxes.

  2. 2

    Structured CV Parsing

    Extracts career history, technical proficiencies, education, certifications, and project accomplishments.

  3. 3

    Rubric Scoring Matrix (0–100)

    Evaluates applicant against mandatory must-haves, preferred qualifications, and compensation fit.

  4. 4

    Conditional Branching

    High scorers (≥80) receive automated interview scheduling; borderlines (60–79) flagged for recruiter review; non-matches (<60) receive polite rejection notices.

  5. 5

    ATS & Slack Sync

    Updates candidate stage in ATS and sends a clean 1-page candidate briefing card to your hiring Slack channel.

Target Applications

Where You Can Use This Template

Eliminate hiring bottlenecks across technical, go-to-market, and high-volume recruiting.

Software Engineering & AI Roles

Evaluates technical stack depth (Python, Rust, React, PyTorch), GitHub portfolio links, and systems architecture experience.

High-Volume Sales & SDR Recruiting

Screens hundreds of SDR applicants for quota attainment track records, outbound software familiarity, and written communication quality.

Staffing & Executive Search Agencies

Parses client talent pools against specific client mandate briefs, producing ranked shortlists in minutes instead of days.

Healthcare & Clinical Staffing

Verifies state medical licensing, board certifications, clinical specialization, and malpractice clearances automatically.

High-Volume Hourly & Logistics Hiring

Screens thousands of warehouse, logistics, and driver applicants against shift availability, CDL license status, and background requirements.

University & Graduate Internship Programs

Evaluates major coursework, GPA thresholds, leadership extracurriculars, and technical projects across high-volume college applicant pools.

Ecosystem

Connected with Premier ATS & Calendar Tools

Seamlessly routes candidates through your existing hiring stack.

Greenhouse

Candidate Stage Sync

Lever

Application Webhooks

Ashby

Scorecard Generation

Calendly / Google Cal

Auto-Scheduling Links

Slack

#hiring-alerts Pings

Typeform / Webflow

Inbound Job Form Intake

Prompt Engineering

System Prompt — Resume & Applicant Screening Agent

Calibrated for strict merit-based evaluation. Eliminates bias and focuses on proven skill signals.

resume_screening_agent.md
# Resume & Applicant Screening Agent — System Prompt ## Objective Evaluate raw candidate resume text against the target Job Description (JD) and Role Rubric. Extract key qualifications, score candidate fit from 0 to 100, identify strengths/gaps, and generate ATS decision payloads. ## Scoring Rubric Criteria 1. **Core Technical Competencies (40 pts)**: Overlap with required languages, frameworks, and tools. 2. **Relevant Domain Experience (30 pts)**: Years in similar industry, scale of past systems or quota size. 3. **Impact & Accomplishments (20 pts)**: Quantifiable outcomes (e.g. "Grew ARR 3x", "Reduced latency 40%"). 4. **Logistics & Constraints (10 pts)**: Work authorization, timezone/location compatibility, compensation match. ## Decision Thresholds - **Score ≥ 80**: ACCEPT → Trigger automated Calendly interview invitation. - **Score 60–79**: REVIEW → Flag for recruiter manual review in Slack. - **Score < 60**: REJECT → Send polite, constructive rejection email after 24h delay. ## Output Schema { "candidate_name": "Maya Lin", "score": 96, "decision": "ACCEPT", "strengths": [ "7 YOE building distributed AI applications", "Led engineering squad at Stripe", "Exceeded required tech stack criteria" ], "concerns": [], "ats_action": "invite_to_first_round_interview", "slack_summary": "*Maya Lin* scored *96/100* for Lead Full-Stack AI Engineer. Auto-scheduled discovery call." }

Got Questions?

Frequently Asked Questions

Learn how the Resume & Applicant Screening AI Agent operates safely and compliantly.

The agent strips demographic markers (name, age, gender indicators, profile photos, graduation years) and scores applicants exclusively against your objective skills rubric, demonstrated project impact, and domain experience in compliance with EEOC guidelines.
Yes. It uses advanced OCR and vision document parsing to accurately read multi-column layouts, tables, embedded hyperlinks, and LinkedIn PDF export formats without losing structural context.
Candidates who score in the borderline zone (e.g. 60–79 points) are routed to a "Recruiter Review" queue with highlighted areas of uncertainty for a human hiring manager to make the final determination.
No. To ensure a thoughtful candidate experience, the agent applies an intentional 24 to 48-hour delay before sending polite, personalized rejection emails so applicants never feel rejected by an instantaneous bot.
Yes. You can configure custom required skills, minimum years of experience, weightings, and custom knock-out questions for every specific job title inside the RhinoAgents dashboard or via Ashby/Greenhouse job IDs.

Done-for-You Setup

Want our engineering team to connect your ATS, scoring rubrics, and Calendly workflows?

We configure your Greenhouse, Lever, or Ashby webhooks, map your hiring scorecards, set up Slack candidate alerts, and launch your automated recruiting machine within 48 hours.

Expert Setup Rate

$50
/hour

Avg. project: 4–6 hours