Python AI Intern

Responsibilities

• Build intelligent scraping pipelines with fallback logic (GET Playwright LLM).
• Parse messy HTML using DOM-aware logic to extract emails, names, and keywords.
• Use lexical similarity and subsequence scoring to associate entities with goals.
• Integrate and optimize LLM APIs (OpenAI, Claude, Sonar) for reasoning and enrichment.
• Create structured reports in JSON/HTML from semi-structured sources.
• Optimize backend performance for multi-threaded, concurrent web crawling.
• Experiment with goal-classification models, AI-driven contact curation, and relevance ranking.
  

Requirements

• A strong academic background in CS, engineering, AI, or related fields.
• Solid programming skills in Python (and optionally Node.js ).
• Direct experience with LLMs, including usage of OpenAI/Claude APIs in real projects.
• Projects or work demonstrating hands-on use of AI for reasoning, enrichment, or extraction.
• Deep curiosity and creativity in solving open-ended, data-heavy problems.
• The ability to move fast, think clearly, and work hard.
• A willingness to iterate, debug, and own real production features.
  

Bonus If You Also Have

• Experience scraping the web at scale using Playwright, asyncio, or similar.
• Understanding of DOM traversal and proximity-based entity matching.
• Built tools or algorithms using subsequences and string similarity measures.
• Strong opinions on when and how to use AI to supplement human reasoning.