Tech Lead / Founding Engineer
Reml AI3 months ago
San Francisco, CA, United States
Remote
Full-time
Junior Level (1-3 years)
Job Description
About Reml
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.
The Role
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.
What We’re Looking For
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
Required Skills
Full-stack engineering
Technical decision-making
Data quality
Tool calling
Product judgment
Structured data
System orchestration
Agent-based systems
Cybersecurity
Accountability
Long-term memory
Large language models (LLMs)