Founding AI Engineer

The role

You will build an AI-powered knowledge platform. You will participate in the entire product development lifecycle including architecture, coding, testing, and deploying.

What you will do

• Participate in the entire product development lifecycle
• Research and apply best practices in 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
• Stay updated with emerging technologies in web development and make recommendations

Required qualifications

• 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
• Ability to evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)

Nice to have

• Developed products with LLMs before
• 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

Benefits

• Generous equity package
• Competitive salary and benefits
• 401(k) retirement account
• Spec'd out MacBook
• Dev prod tools like Cursor, Claude, and Linear
• Flexible work arrangements

About the company

Falconer is transforming how engineers create, access, and share knowledge with each other and their AI agents. They are building an AI-powered knowledge platform.