Principal Fullstack Engineer (AI & Data Platform)

OnHires; Remote; PLN 240,000 - 320,000; Full time

Job summary

A tech startup in real estate is seeking its first engineering hire to design core architecture for an AI-Native Real Estate Intelligence Platform. The role involves building scalable data ingestion systems, developing analytics layers, and working directly with founders on product direction. Strong experience in production system engineering, a solid backend and data engineering background, and familiarity with ML pipelines are essential. The position is remote within Europe and values ownership mindset and early-stage innovation.

Responsibilities

• Design and build a scalable data ingestion system.
• Create a centralized data layer that normalizes property information.
• Develop an analytics and ML layer to detect anomalies.
• Use LLMs as an interface on top of structured data.
• Establish engineering standards as the team scales.

Skills

Building production systems from scratch

Backend, frontend and data engineering

Working with unstructured data

Understanding ML / analytics pipelines

Using LLMs in real systems

Ownership mindset

Tools

Node.js

PostgreSQL

Playwright or similar scraping tools

Angular/React

Cloud (AWS/GCP)

Docker

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 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.