AI Recruitment Screening Agent
Multi-agent system for autonomous resume parsing, candidate screening, and interview orchestration with bias detection and ATS integration
Document Ingestion & Parsing
Extract structured data from diverse resume formats (PDF, DOCX, scans) with layout preservation
Handles complex PDF resumes with multi-column layouts, tables, and OCR for scanned documents - critical for accurate skill extraction from visually formatted CVs
Supports 15+ formats including Word and HTML; better for non-PDF submissions and maintains document structure for LLM ingestion
Vector Storage & Semantic Matching
Store candidate embeddings and match against job descriptions using semantic search
Agent Orchestration
Coordinate specialized agents for resume screening, technical assessment, and culture fit evaluation
LLM Gateway & Cost Optimization
Route screening tasks to cost-effective models and final decisions to premium models with failover
Observability & Compliance
Monitor screening decisions for bias, audit trails, and regulatory compliance in hiring
Purpose-built LLM observability tracks why candidates were rejected (explainability for EEOC compliance), versions screening prompts, and detects bias patterns
Red-team testing for hiring bias, prompt injection attacks, and safety violations before production deployment
Workflow automation connects screening agent to existing ATS (Greenhouse, Lever) and HRIS systems via API integrations