Founding LLM Engineer

Financial copilot for institutional investors
$150,000 - $230,000
Machine Learning
Senior Software Engineer
In-Person
1 - 10 Employees
3+ years of experience
AI · Finance

Description For Founding LLM Engineer

Fintool is building a revolutionary financial copilot for investment professionals, essentially creating "Warren Buffett as a Service." The company focuses on organizing world financial information through an AI-powered platform that helps analyze SEC filings and financial documents.

The role of Founding LLM Engineer is crucial in developing sophisticated language models that can replicate Warren Buffett's investment process. You'll be working on building high-quality RAG systems to process millions of complex financial documents, implementing custom embeddings, and creating advanced search capabilities.

The company was founded in 2023 and has quickly become one of the fastest-growing LLM applications, with thousands of investors already signed up. The founding team includes Nicolas Bustamante, who previously built a successful AI-driven legal search engine that was acquired for $100M+, and Edouard Godfrey, who spent 9 years at Apple leading data science teams.

Fintool values small, high-performing in-person teams and maintains a strong engineering-focused culture with principles like "ship code" and "release early, release often." The company's philosophy is deeply rooted in Warren Buffett's principles of integrity, honesty, and continuous learning.

This is an excellent opportunity for an experienced engineer who wants to work at the intersection of AI and finance, building tools that will revolutionize how investment professionals analyze and make decisions. You'll be joining a well-funded startup with proven founders and working directly on technology that aims to transform financial analysis.

Last updated a day ago

Responsibilities For Founding LLM Engineer

  • Develop high-quality, low-latency retrieval augmented generation (RAG) on top of millions of complex documents
  • Lead implementation of custom embeddings
  • Implement rankers and hybrid search
  • Work on complex financial document analysis systems

Requirements For Founding LLM Engineer

Python
TypeScript
  • 3+ years of experience
  • Python expertise
  • Machine Learning knowledge (embeddings, ranking, recommendations)
  • LLM experience
  • Spark and Databricks knowledge is a plus
  • TypeScript knowledge is a plus

Benefits For Founding LLM Engineer

Equity
  • Equity

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