Founding AI Engineer

Expired

This listing is older than 60 days and may no longer be accepting applications.

Falconer

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$200K - $300K/yr

Agentic Frameworks

Tech Stack

About the Role

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.

Key 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
  • Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practices

Who you are:

  • 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

Bonus points:

  • 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

Perks and benefits: Generous equity package, competitive salary and benefits, 401(k), spec'd-out MacBook and dev tools like Cursor, Claude, and Linear. Our office is in San Francisco, just steps from Caltrain.

Compensation: $200,000-$300,000 plus equity.

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