Founding AI Engineer
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Before you apply
SalaryNo pay range posted
LocationSan Francisco, Bay Area
Work modeon-site
Typefull-time
SeniorityLead
Experience2+ yrs
DepartmentEngineering
EquityIncluded
Company size3+ people
PostedApr 14, 2025 · 1y ago
Verified live3d ago
May no longer be actively hiring
Posted by the company on Apr 14, 2025No pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
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
Evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)
You enjoy hard problems and open-ended assignments
Use data to make decisions, and experiment your way around hard problems
Developed products with LLMs before (extra if you've already built your own agents)
Fine-tuned foundational models to tailor responses to specific data use cases
Experience with LlamaIndex and Memgraph to produce knowledge graphs
Skills
Knowledge Graph
embeddings
vector search
RAG
fine-tuning
model optimization
Python
Node.js
SQL
NoSQL
Vector DBs
Graph databases
LLMs
LlamaIndex
Memgraph
Benefits
Equity
Competitive salary
401(k)
Equipment
Flexible work
About the company
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.
About the role
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
Legal
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.
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