Founding AI Engineer

FalconerSan Francisco, CA
16dHybrid

About The Position

At Falconer, we’re transforming how engineers create, access, and share knowledge with each other and their AI agents. We’re looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that companies love. As a founding engineer, you'll have a major impact on our product development, technical direction, and culture.

Requirements

  • Advanced degree in Machine Learning, Computer Science, Data Science, Engineering, or equivalent work experience
  • Minimum of 2 years of professional experience in developing ML data pipelines
  • Experience with text embeddings, RAG systems, and similarity search
  • Familiar with Entity and Relationship recognition models
  • Skilled at prompt engineering
  • Ability to implement backend systems in Python and/or Node.js
  • You can evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)
  • You enjoy hard problems and open-ended assignments
  • You use data to make decisions, and experiment your way around hard problems

Nice To Haves

  • You've developed products with LLMs before (extra if you've already built your own agents)
  • You have fine-tuned foundational models to tailor responses to specific data use cases
  • You have experience with LlamaIndex and Memgraph to produce knowledge graphs

Responsibilities

  • Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying
  • Research and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimization
  • Develop and maintain backend systems including API services, databases, and server-side logic
  • Optimize tech stack and applications for maximum precision and speed
  • Write clean, efficient, and well-documented code, following industry best practices— the Falconer platform will help you!
  • Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices

Benefits

  • Generous equity package
  • Competitive salary and benefits
  • 401(k) retirement account
  • The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fast
  • Flexible work arrangements with in-office work or hybrid work for the right candidate
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