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Company Resume Guide

How to Tailor Your Resume for Perplexity AI

Perplexity AI is building AI-powered search. Your resume should highlight LLM applications, search technology, and real-time AI systems.

Keywords Perplexity AI Recruiters Look For

Include these keywords in your resume to pass ATS screening and catch recruiter attention:

LLMSearchRAGPythonTypeScriptReactNLPInformation RetrievalWeb ScrapingReal-time SystemsMLOpsKubernetesInferenceVector Search

Tips for Your Perplexity AI Resume

  • ✓Show LLM and RAG experience — core to Perplexity
  • ✓Highlight search and information retrieval expertise
  • ✓Include real-time AI system development
  • ✓Demonstrate full-stack AI product development
  • ✓Show scalability and performance optimization

Common Mistakes to Avoid

  • ×No LLM or RAG experience
  • ×Missing search or information retrieval work
  • ×Vague about real-time systems
  • ×Not showing full-stack AI development
  • ×No scalability or performance work

Example Bullet Points

These examples show the style and format that works well for Perplexity AI applications:

"Built a RAG-based search system serving 10M+ queries/day with <500ms response time"

"Developed real-time web scraping and indexing pipelines processing 100M+ pages daily"

"Optimized LLM inference for search, reducing cost per query by 50% while maintaining quality"

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