Founding LLM Engineer

Financial copilot for institutional investors using AI to replicate Warren Buffett's investment process
$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 revolutionizing financial analysis by creating an AI-powered "Warren Buffett as a Service." Founded by Nicolas Bustamante, who previously built a successful AI-driven legal search engine, and Edouard Godfrey, a former Apple engineer, the company aims to replicate Warren Buffett's investment process using advanced AI technology.

The role focuses on developing high-quality, low-latency retrieval augmented generation (RAG) systems for processing millions of complex financial documents. As a Founding LLM Engineer, you'll lead the implementation of custom embeddings, rankers, and hybrid search systems.

The company culture emphasizes small, in-person teams that prioritize shipping code and maintaining direct customer feedback loops. Fintool's values are deeply rooted in Warren Buffett's principles: integrity, honesty, frugality, and continuous learning.

The platform serves as a financial copilot for public equity investors, essentially functioning as ChatGPT for financial documents, with a primary focus on SEC filings. It helps investors summarize annual reports, compute numbers, and discover insights by comparing years of financial documents.

Working at Fintool means joining one of the fastest-growing LLM applications, with thousands of investors already signed up. The company believes in the future of chat-based interfaces and is committed to organizing the world's financial information to help investment professionals make better decisions.

Last updated 11 minutes ago

Responsibilities For Founding LLM Engineer

  • Develop high-quality, low-latency retrieval augmented generation (RAG)
  • Implement custom embeddings
  • Build rankers and hybrid search systems
  • Process and analyze millions of complex documents

Requirements For Founding LLM Engineer

Python
TypeScript
  • Python expertise
  • Machine Learning experience (embeddings, ranking, recommendations)
  • LLM experience
  • Knowledge of Spark (plus)
  • Knowledge of Databricks (plus)
  • Knowledge of TypeScript (plus)

Benefits For Founding LLM Engineer

Equity
  • Equity (0.30% - 1.00%)
  • In-person collaborative environment
  • Direct work with founders
  • Small team environment

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