Make the Right Hire, The First Time.

RFTHire scales your screening process so you never miss top talent. From intelligent resume parsing to holistic live communication evaluations, our platform helps your recruitment team improve hiring quality and make data-driven decisions.

Explore Features
app.rfthire.com/live-interview

AI Interviewer asking...

"Could you elaborate on how you scaled the Redis cluster in your previous role?"

Candidate Match

94 /100
System Design Excellent
React.js Strong

The Complete Agentic Loop

From creating the job description to the final interview score, our AI agents handle the heavy lifting while you make the final decision.

JD Analysis & Enrichment

Paste a basic job description and let AI expand it with required skills, industry trends, and geographical insights customized for your market.

Resume Match Scoring

Automatically parse incoming resumes, cross-reference them with the enriched JD, and rank candidates on a dynamic scoreboard.

Custom Screening Questions

Generates personalized technical and behavioral questions for each candidate based on their specific resume claims and the job requirements.

Live AI Interviews

Conduct automated technical interviews in the browser using WebRTC audio and OpenAI's Whisper model for real-time speech-to-text transcription.

Reasoned Scoring

After the interview, the AI agent evaluates the transcript against the expected answers and provides a detailed score with human-readable reasoning.

Job Board Publishing

One-click push to popular job boards and seamless ingestion of applications via our open API webhook ecosystem.

Discrepancy Tracker

Automatically cross-reference candidate resumes against live interview transcripts to detect inconsistencies and ensure their claims match reality.

Human Override

Retain ultimate control. RFTHire provides powerful recommendations and insights to improve hiring quality, but you—the recruiter—always have the final "Human Override" to make the hiring decision.

Re-Record Lifeline

Reduce candidate anxiety during live AI interviews by offering a customizable "Re-Record" lifeline, ensuring candidates can present their best selves.

See the Agentic Loop in Action

Click through the steps below to see how our AI handles the end-to-end recruitment process.

AI Evaluation Rubric

Active & Validated

System Design Architecture

Evaluates candidate's ability to design scalable, distributed systems.

4 Rating (Target)

Designs multi-region clusters with Redis.

React.js Deep Dive

Checks for advanced hooks, context, and memoization patterns.

4 Rating (Target)

Mastery of useMemo, useCallback patterns.

Candidates Pipeline

24 Total
SJ
Sarah Jenkins
sarah@example.com
 96
MK
Michael Kim
michael@example.com
 82
"Could you elaborate on how you scaled the Redis cluster to handle 10k requests per second?"
Powered by RFTHire Agentic Evaluation
Disclaimer: AI-driven interviews can occasionally produce errors. Always verify critical information independently.

AI Results

FINAL SCORE
94/100

AI Reasoning

Candidate demonstrated deep knowledge of hooks and memoization. Answer perfectly matched the required rubric expectations for Senior level.

Final Decision

Workflow

How RFTHire Scales Your Recruitment

Stop manually reading hundreds of resumes and conducting repetitive phone screens. RFTHire automates the heavy lifting so you can focus on closing the right candidate.

1

Define the Rubric

Paste a raw job description. The AI extracts core skills and generates a rigorous, unified evaluation rubric.

2

Mass Resume Screening

Hundreds of inbound resumes are parsed instantly and ranked against your rubric without human bias.

3

Live Agentic Interviews

Top candidates undergo a live video interview where our AI probes their specific resume claims against the JD.

4

Human Override

You receive a holistic scorecard with transcripts and AI reasoning. You hold the ultimate power to make the hire.

Beta Access

Start Building Your AI Hiring Pipeline

Join forward-thinking companies improving their recruitment with RFTHire. Request early access below.

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