Fullstack Engineer (AI & Data Platform)
TypeFull-time job
LocationUnited States
Posted1 hour ago
Product:AI-Native Real Estate Intelligence Platform
Stage:Seed / Idea Stage
Ukrainian is a plus
Location:Remote (Europe)
🚀 The Opportunity
We’re building theintelligence layer for the real estate market.
Our platform automatically discovers, normalizes, and analyzes property data from thousands ofunstructured, real-world web sources.
The goal is not listings or document search - butstructured market intelligence: trends, anomalies, and investment-relevant signals.
As ourfirst engineering hire, you’ll design the core architecture from0→1, build the data and intelligence foundation, and grow into a technical leader as the team scales.
🧠 What You’ll Own
Design and build ascalable data ingestion systemfor messy, anti-bot-protected sources.
Create acentralized data / knowledge layerthat normalizes and connects property information across sources.
Develop ananalytics & ML layerto compute market signals and detect anomalies.
UseLLMs as an interface and reasoning layeron 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 buildingproduction systems from scratch.
Solidbackend, frontend and data engineeringbackground (language-agnostic).
Comfort working withunstructured data and unstable sources.
Practical understanding ofML / analytics pipelines(not research-heavy).
Experience usingLLMs in real systems(beyond simple API calls).
Ownership mindset and interest in early-stage, high-impact work.
Current Technical Direction (Flexible)
This reflects ourcurrent 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 afounding 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 involvingdata pipelines, analytics, or AI-driven products.
Originally posted on Himalayas
Stage:Seed / Idea Stage
Ukrainian is a plus
Location:Remote (Europe)
🚀 The Opportunity
We’re building theintelligence layer for the real estate market.
Our platform automatically discovers, normalizes, and analyzes property data from thousands ofunstructured, real-world web sources.
The goal is not listings or document search - butstructured market intelligence: trends, anomalies, and investment-relevant signals.
As ourfirst engineering hire, you’ll design the core architecture from0→1, build the data and intelligence foundation, and grow into a technical leader as the team scales.
🧠 What You’ll Own
Design and build ascalable data ingestion systemfor messy, anti-bot-protected sources.
Create acentralized data / knowledge layerthat normalizes and connects property information across sources.
Develop ananalytics & ML layerto compute market signals and detect anomalies.
UseLLMs as an interface and reasoning layeron 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 buildingproduction systems from scratch.
Solidbackend, frontend and data engineeringbackground (language-agnostic).
Comfort working withunstructured data and unstable sources.
Practical understanding ofML / analytics pipelines(not research-heavy).
Experience usingLLMs in real systems(beyond simple API calls).
Ownership mindset and interest in early-stage, high-impact work.
Current Technical Direction (Flexible)
This reflects ourcurrent 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 afounding 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 involvingdata pipelines, analytics, or AI-driven products.
Originally posted on Himalayas
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