Founding AI Engineer
$200k - $300k • San Francisco, Bay Area • FullTime
Posted 1y ago
Job Location
San Francisco, Bay Area
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Falconer is building an AI-powered knowledge platform to transform how engineers create, access, and share knowledge. We are seeking a Founding AI Engineer to play a pivotal role in shaping our product development, technical direction, and company culture. This is an opportunity to have a significant impact on a growing company.
Responsibilities
- Participate in the full product development lifecycle, including architecture, coding, testing, and deployment.
- Research and apply best practices in Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimization.
- Develop and maintain backend systems such as API services, databases, and server-side logic.
- Optimize the tech stack and applications for maximum precision and speed.
- Write clean, efficient, and well-documented code following industry best practices.
- Stay updated with emerging web development technologies and recommend new tools and practices.
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.
- Familiarity with Entity and Relationship recognition models.
- Skilled at prompt engineering.
- Ability to implement backend systems in Python and/or Node.js.
- Ability to evaluate tradeoffs and propose appropriate storage solutions (SQL, NoSQL, Vector DBs, Graph databases).
- Enjoyment of hard problems and open-ended assignments.
- Data-driven decision-making and experimental approach to problem-solving.
Benefits
- Generous equity package
- Competitive salary
- Competitive benefits
- 401(k) retirement account
- High-end equipment and tools (e.g., MacBook, Cursor, Claude, Linear)
- Flexible work arrangements (in-office or hybrid)