Founding AI Engineer
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Role details
Tech stack
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Job description
At Falconer, weβre transforming how engineers create, access, and share knowledge with each other and their AI agents. Weβre looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that companies love.
As a founding engineer, youβll have a major impact on our product development, technical direction, and culture., * 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
Requirements
Artificial Intelligence (AI), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Product Development, Product Lifecycle, Application Programming Interface (API), Systems Maintenance, Best Practices, Emerging Technology, Web Programming, * 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:
- Youβve developed products with LLMs before (extra if youβve 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
Benefits & conditions
Perks and benefits:
- Generous equity package
- Competitive salary and benefits
- 401(k) retirement account
- The best equipment and tools, like a specβd 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.
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