RealStack AI
Co-Founder | AI-native SaaS for CRE | FinTech
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.
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
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr
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.
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
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr