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Nura

Founding Full Stack Engineer

Reposted One Month Ago
Hybrid
Palo Alto, CA, USA
130K-200K Annually
Entry level
Hybrid
Palo Alto, CA, USA
130K-200K Annually
Entry level
Build and ship full-stack products for real estate developers and lenders. Translate customer problems into technical solutions, work across React/TypeScript and Node.js or Python, develop AI-powered features, handle web scraping and unstructured data, deploy production systems in cloud environments, and collaborate closely with founders and customers in a high-ownership startup setting.
The summary above was generated by AI

Nura is the AI intelligence layer for real estate. We're helping America build more. We are backed by Afore Capital and angels from top real estate and financial institutions. We're a team of engineers building the infrastructure for how America finances and develops real estate.

The Role:

At Nura, we build products that sit at the center of how developers and lenders analyze deals. Our users range from real estate developers underwriting their next project to banks screening hundreds of loan requests. They rely on our platform to understand what can be built, whether a deal pencils, and how to move faster than their competition.

You'll sit at the intersection of engineering, product, and customers. You will translate messy real-world problems into clear technical solutions, make high-impact decisions under real constraints, and work directly with founders and customers to build products that close six-figure deals.

We move fast and ship constantly. You'll own what you build.

About the Role:

  • Early engineer with meaningful equity

  • Full-time role, hybrid

  • High-ownership environment with direct customer exposure

  • Close collaboration with founders and customers

  • Your code ships to production, not to a backlog

What Makes You a Good Fit:

  • Comfortable across the stack: React/TypeScript on frontend, Node.js or Python on backend

  • Experience with web scraping, unstructured data, or PDF parsing

  • Familiarity with LLMs and building AI-powered features

  • Comfortable with AWS or similar cloud environments

  • Experience building production systems with real paying users

Bonus Points:

  • Experience with geospatial data or mapping

  • Familiarity with real estate, fintech, or government data

  • Prior work scraping or parsing messy public data sources

  • Experience with RAG, vector databases, or document retrieval

Come help shape how America gets built.

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