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AI Patent Prior Art Analysis Engineer

Julian Johansson

Full-time · Job · New_York

About the role

A thorough prior art search for a software patent application takes a patent attorney 6-15 hours and costs clients $3,000-$8,000. Our platform reduces that to 45 minutes and $400 by automating the retrieval of technically similar prior art from 120 million patent documents and 400 million scientific papers. The bottleneck is semantic relevance: retrieving documents that are technically similar without using the same terminology as the claims. You'll improve the retrieval and ranking layer that makes semantic similarity work for patent analysis. The challenge is domain-specific: patent language evolves to avoid citing prior art, inventors use novel terminology intentionally, and technical similarity doesn't always map to lexical similarity. You'll build specialized embeddings, fine-tune retrieval models on patent data, and develop re-ranking logic that incorporates claim structure analysis. The engineering team is six people. This role owns the search and retrieval pipeline — roughly 40% of the technical stack. You'll work closely with two patent attorneys on staff who provide ground truth feedback on search quality.

Responsibilities

  • Improve semantic retrieval for patent prior art from 120M+ document corpus
  • Build domain-adapted embeddings for patent claim language
  • Develop re-ranking models incorporating patent claim structure analysis
  • Design evaluation benchmarks using attorney-validated relevance judgments
  • Build hybrid retrieval combining dense vector search with keyword signals
  • Monitor retrieval quality across different technology domains

Requirements

  • 3+ years in information retrieval, NLP, or search engineering
  • Experience with RAG architectures and dense retrieval systems
  • Familiarity with fine-tuning embeddings on domain-specific corpora
  • Strong Python skills and experience with vector databases
  • Interest in patent or legal domain is a plus

Benefits

  • Fully remote with flexible schedule
  • Health and dental coverage
  • $3,000 annual learning budget
  • 401(k) with match
  • Intellectually stimulating problem space

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Categories

NLP & Prompt Engineering data science & analytics

Skills

python rag langchain hugging face sql

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

NLP & Prompt Engineering data science & analytics

Skills

python rag langchain hugging face sql fastapi

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