Founding LLM Engineer

AI-powered financial analysis service that replicates Warren Buffett's investment process using language models
$175,000 - $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 an innovative startup that's creating "Warren Buffett as a Service" - an AI-powered financial analysis platform that replicates the investment genius's methodology. Founded by Nicolas Bustamante, who previously built and sold a successful AI-driven legal search engine, and Edouard Godfrey, a former Apple engineer with extensive data science experience, the company is pushing the boundaries of AI in financial analysis.

The role of Founding LLM Engineer presents a unique opportunity to shape the future of AI-driven financial analysis. You'll be working on sophisticated language models that analyze SEC filings, earnings reports, and management decisions - essentially building an AI financial analyst that operates at scale. The position requires expertise in developing retrieval augmented generation systems and implementing custom embeddings and rankers.

The company culture emphasizes small, high-performing in-person teams, rapid iteration, and direct customer feedback. Fintool's values are deeply rooted in Warren Buffett's principles: integrity, continuous learning, and rational decision-making. They believe in "cloning and improving the best" rather than reinventing the wheel, and maintain a strong focus on shipping code and avoiding unnecessary bureaucracy.

This is an ideal role for a senior engineer who wants to work at the intersection of AI and finance, in a small team environment where their impact can be significant and directly visible. The compensation package is competitive, including both substantial equity and a relocation package, reflecting the founding nature of the role. The position is based in San Francisco, with a strong emphasis on in-person collaboration to foster innovation and team cohesion.

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

Requirements For Founding LLM Engineer

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

Benefits For Founding LLM Engineer

Relocation Benefits
Equity
  • Relocation Package
  • Equity (0.3% – 1%)

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