Product: AI-Native Real Estate Intelligence Platform
Stage: Seed / Idea Stage
Ukrainian is a plus
Location: Remote (Europe)

🚀 The Opportunity

We’re building the intelligence layer for the real estate market.

Our platform automatically discovers, normalizes, and analyzes property data from thousands of unstructured, real-world web sources.
The goal is not listings or document search - but structured market intelligence: trends, anomalies, and investment-relevant signals.

As our first engineering hire, you’ll design the core architecture from 0→1, build the data and intelligence foundation, and grow into a technical leader as the team scales.

🧠 What You’ll Own

• Design and build a scalable data ingestion system for messy, anti-bot-protected sources.
  
  

• Create a centralized data / knowledge layer that normalizes and connects property information across sources.
  
  

• Develop an analytics & ML layer to compute market signals and detect anomalies.
  
  

• Use LLMs as an interface and reasoning layer on top of structured data and computed metrics.
  
  

• Work directly with the founders on product decisions and technical direction.
  
  

• Establish engineering standards and help scale the team over time.
  
  

✅ What Matters Most (Core Requirements)

• Strong experience building production systems from scratch.
  
  

• Solid backend, frontend and data engineering background (language-agnostic).
  
  

• Comfort working with unstructured data and unstable sources.
  
  

• Practical understanding of ML / analytics pipelines (not research-heavy).
  
  

• Experience using LLMs in real systems (beyond simple API calls).
  
  

• Ownership mindset and interest in early-stage, high-impact work.
  
  

🛠️ Current Technical Direction (Flexible)

This reflects our current direction, not a strict checklist.
We care more about how you think than whether you’ve used every tool.

• Backend: Node.js
  
  

• Data: PostgreSQL (+ optional graph or vector extensions)
  
  

• Ingestion: Playwright / similar scraping approaches
  
  

• Analytics & AI: ML for signals and anomaly detection
  
  

• LLMs: agentic workflows, tool-using LLMs, optional MCP
  
  

• Frontend: Angular/React
  
  

• Infra: Cloud (AWS/GCP), Docker, CI/CD
  
  

⭐ Nice to Have

• Experience as a founding or early-stage engineer.
  
  

• Knowledge graphs or complex data models.
  
  

• Work in PropTech, FinTech, or market intelligence products.
  
  

⚠️ Important Note

We don’t expect one person to permanently cover every layer.
Your initial focus will match your strengths, and we’ll hire around you as the product grows.

📬 How to Apply

Share your GitHub, portfolio, or examples of systems you’ve built involving data pipelines, analytics, or AI-driven products.