Generative AI & MLOps

AI-Powered Candidate Screening & Ranking Agent

Hire me Club — GenAI Recruitment Platform

CV screening pipeline: resumes are parsed with Textract, matched against the job requirements, scored by a Bedrock Claude model behind a fairness guardrail, and returned as a ranked shortlist. Resumes PDF · DOCX Parse Textract Job requirements Match skills vs role Score Bedrock · Claude Fairness guardrail Ranked shortlist
Illustrative screening pipeline — resumes parsed with Textract, matched to the role, scored by a Bedrock Claude model behind a fairness guardrail, returned as a ranked shortlist.
Generative AI & MLOps

Mist Cloud designed and deployed a fully serverless GenAI recruitment platform on AWS, enabling Hire me Club to automate candidate screening, improve recruiter efficiency, and scale hiring operations using Amazon Bedrock Agents and Claude 3.5 Sonnet.

Bedrock AgentsClaude 3.5 SonnetTextractServerless
94%Reduction in time-to-shortlist
75%Reduction in recruiter screening time
93%Agent-to-recruiter alignment
About the Customer

Business Context & Challenges

Business Context

Hire me Club is an SMB HR technology company processing 800–1,200 candidate CVs per open role while operating with a lean recruitment team. Manual screening created operational bottlenecks and delayed candidate engagement.

Key Challenges

Recruiter burnout from repetitive manual screening · 5–7 day average time-to-shortlist · inconsistent evaluation standards · difficulty scaling without additional headcount · growing SLA pressure.

Solution

How the Agent Works

Agent Workflow

Retrieves job descriptions and scoring rubrics from DynamoDB · fetches CVs from S3 · extracts structured text with Amazon Textract · evaluates candidates with Claude 3.5 Sonnet · generates ranked shortlists with reasoning · notifies recruiters via SNS.

Key Features

Autonomous multi-step reasoning · human-in-the-loop review for low-confidence candidates · end-to-end trace logging · bias reduction via Bedrock Guardrails · serverless-first architecture · per-role scoring customization.

AWS Services

What Powers It

Bedrock Agents

Core orchestration — reasoning, tool invocation, session management.

Claude 3.5 Sonnet

Candidate evaluation, multi-step reasoning, scoring, justification.

Amazon Textract

Structured text extraction from scanned PDF/DOCX CVs.

Amazon DynamoDB

Job descriptions, rubrics, evaluations, audit trails.

AWS Lambda

Least-privilege serverless functions for every agent tool.

Amazon S3

Secure CV storage with versioning and object locking.

Business Outcomes

Results at a Glance

Time-to-Shortlist

5–7 business days → 4 hours average (94% reduction)

Recruiter Screening Time

65% of working hours → 16% (75% reduction)

Agent-to-Recruiter Alignment

Manual process → 93% alignment (target exceeded)

Peak Hiring Capacity

1x capacity → 3.2x capacity, no added headcount

Architecture

High Availability & Scalability

AWS architecture diagram for the Hire me Club GenAI candidate screening platform — Bedrock Agents, Lambda, S3, DynamoDB, SNS, Textract, and API Gateway across multiple Availability Zones

All services deployed across multiple Availability Zones — Bedrock Agents, Lambda, S3, DynamoDB, SNS, Textract, and API Gateway — with no single point of failure.

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