Falconer
At Falconer, we’re transforming how engineers create, access, and share knowledge. 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 won’t just help shape our product development—you’ll have a seat at the table to define Falconer’s 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.
#J-18808-Ljbffr
As a founding engineer, you won’t just help shape our product development—you’ll have a seat at the table to define Falconer’s 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.
#J-18808-Ljbffr