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:
