AWS Generative AI Competency
Hire me Club — GenAI Recruitment Platform
Mist Avinya 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.
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.
Recruiter burnout from repetitive manual screening · 5–7 day average time-to-shortlist · inconsistent evaluation standards · difficulty scaling without additional headcount · growing SLA pressure.
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.
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.
Core orchestration — reasoning, tool invocation, session management.
Candidate evaluation, multi-step reasoning, scoring, justification.
Structured text extraction from scanned PDF/DOCX CVs.
Job descriptions, rubrics, evaluations, audit trails.
Least-privilege serverless functions for every agent tool.
Secure CV storage with versioning and object locking.
5–7 business days → 4 hours average (94% reduction)
65% of working hours → 16% (75% reduction)
Manual process → 93% alignment (target exceeded)
1x capacity → 3.2x capacity, no added headcount
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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