Principal Fullstack Engineer (AI & Data Platform)

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., * 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., 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

• 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., * Experience as a founding or early-stage engineer.
• Knowledge graphs or complex data models.
• Work in PropTech, FinTech, or market intelligence products.

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