Reml is building the most trusted machine teammate for institutional real estate investing.
The industry already has elite talent, capital, assets, and data — yet value creation is limited by fragmented workflows and under-used information. Our goal is to optimize investing through the best human–machine collaboration, designing intelligence systems that compound in value over time.
We’re hiring a Tech Lead / Founding Engineer to architect and build Reml’s core multi-agent intelligence platform.
This is a systems + ownership role, not feature delivery.
You will:
Build and own a multi-agent AI system for real-world investment workflows
Design agent orchestration, memory, reasoning, and human-in-the-loop interfaces
Translate institutional workflows into scalable intelligence systems
Make foundational technical decisions and later build the engineering team
Clear path to CTO-level ownership for the right person.
Technical
Strong full-stack engineering (staff engineer preferred)
Experience with LLMs and agent-based systems (e.g. LangChain)
Familiar with orchestration, tool calling, structured data, and long-term memory
Comfortable building zero → one
Mindset
Systems thinker with strong product judgment
Curious about real estate, investing, or complex real-world systems
Values data quality, cybersecurity, and accountability
High integrity, candid, and kind
Why Join
Build real multi-agent intelligence, not demos
Shape AI adoption in a high-stakes, conservative industry
Early ownership — your technical philosophy defines the product
Long-term goal: build a trusted, enduring intelligence platform


