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)