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n8nCase study

AI-Powered Recruitment Automation

End-to-end recruitment automation pipeline that automates candidate sourcing, semantic job matching, and offer generation, reducing manual recruitment tasks by 80% while improving match quality.

n8n · workflow canvasproduction build
AI-Powered Recruitment Automation workflow

Context

Recruiters spent hours manually searching for candidates on LinkedIn, matching profiles to job descriptions, and drafting personalized outreach messages for each role.

Approach

Built three interconnected n8n workflows: Job Description RAG for indexing roles with vector embeddings, LinkedIn Profile Scraper for automated candidate discovery, and Candidate Matching using AI agents with semantic search to match and generate tailored offer messages.

Architecture

  1. Google Drive trigger
  2. Document processing
  3. OpenAI embeddings
  4. Pinecone vector storage
  5. Google Sheets updates
  6. Google Custom Search API
  7. LinkedIn scraping
  8. RAG retrieval
  9. AI Agent matching
  10. Automated offer generation

Results

90% fasterCandidate screening time
92%Matching accuracy
100+/weekProfiles processed

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