Falconer

Founding AI Engineer at Falconer (San Francisco, CA)

Falconer· San Francisco, CA· $200k–$300k·

Role details

Salary
$200k–$300k
Work type
Onsite
Employment
Full-Time
Equity
Yes

Job description

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—the Falconer platform will help you!
  • 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) 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
  • Our current office is in San Francisco, just steps from Caltrain

At Falconer, we value diversity and equal opportunities. We welcome applicants from all backgrounds and are committed to creating an inclusive workplace. If you are passionate about technology and thrive in a challenging environment, come join our team and help us shape the future of work communication.

Why work at Falconer

  • Engineering culture: The team is heavily technical (50% technical roles), with a focus on building a product that makes other engineers more productive. The founders have strong technical backgrounds and are hands-on.
  • Growth trajectory: As an unfunded but rapidly growing startup (300% YoY headcount growth), employees can have a massive impact on product direction and company culture.
  • Autonomy and remote flexibility: The company supports a remote workspace, with employees located across multiple locations (7 locations noted). The policy is "In-Office or Remote," giving flexibility.
  • AI/LLM cutting edge: Work at the forefront of LLM-powered knowledge retrieval and agentic systems. This is a hot area of AI.
  • High talent density: Team composition includes alumni from Meta, Amazon, and high-growth startups, suggesting a high-performance environment.

Application questions