Principal Fullstack Engineer (AI & Data Platform)

Carbon Data Solutions; United States; Remote; USD 101,000 - 169,000; Full time

Job summary

Carbon Data Solutions is building an AI-native real estate intelligence platform. We are seeking our first engineer to design core architecture from 0→1, build data and ML foundation, and grow into a technical leader as the team scales.

You will own data ingestion, central knowledge layer, analytics and ML, and work with founders on product direction while shaping engineering standards.

Qualifications

• Experience building production systems from scratch.
• Backend, frontend and data engineering background (language-agnostic).
• Comfort with unstructured data and unstable sources.
• Practical understanding of ML / analytics pipelines.
• Experience using LLMs in real systems.
• Ownership mindset and interest in early-stage, high-impact work.

Responsibilities

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

Skills

Production systems

Backend

Frontend

Data engineering

Unstructured data

ML pipelines

LLMs in production

Ownership mindset

Tools

Playwright

PostgreSQL

Docker

Angular/React

AWS/GCP

Job description

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.