Member of the Technical Staff

Transform trillion-dollar markets with cutting-edge LLMs

About Us

We are a team of Wall Street investment principals and engineering leaders from FAANG. Our mission is to revolutionize the world’s first and largest asset class – commercial real estate. Our clients are leading investment firms managing hundreds of billions of real estate portfolios around the world. Join us to replace legacy solutions with AI-driven intelligence at scale.

Your Impact

* Pioneer enterprise LLM frontiers: Like Prometheus, your code will bring the fire of intelligence to the largest asset class in the world

* Master trillion-dollar markets: You will gain an in-depth understanding North American commercial real estate’s core mechanics

* Redefine investing workflows: Your code will transform CRE investing – like Bloomberg Terminals did for equity and bonds - like Henry Ford redefined faster horses.

Perks

* If we make it to Series A, your equity values at never-have-to-work-a-day-in-your-life-again

* If we make it to Series B, your equity values at achieving-generational-wealth

Timeline is 3 years. In three months, we went from 0 code and 0 revenue to where we are now. We want to move faster from here. This is not a lifestyle gig.

Your Role

Design systems that extract intelligence from complex financial data

* Architect RAG/prompt systems to parse heterogeneous structured data

* Develop frameworks connecting LLMs to quantifiable investment decisions

* Collaborate with finance experts to bring domain knowledge to AI

* Define next generational software features for CRE workflows

Who are you

• Have existential problems with inefficiencies
• 4 years in LLM/ML/backend/Quant dev engineering
• Proven end-to-end AI project experience with complex data
• Experience with:
• RAG/prompt engineering for complex data extraction
• LLM training/fine-tuning & inference optimization
• Nice to have: Quantitative finance/AI start up/AI PhD experience