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OnHires

OnHires

via Teamtailor

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Principal Fullstack Engineer (AI & Data Platform)

Anywhere
Full-time
Posted 1/7/2026
Direct Apply
Key Skills:
TypeScript
Node.js
React
Data Engineering
API Development
Cloud Platforms (AWS)
Unstructured Data Handling
ML/Analytics Pipelines

Compensation

Salary Range

$120K - 200K a year

Responsibilities

Design and develop a scalable data ingestion and analytics platform for real estate market intelligence, working closely with founders and scaling the team.

Requirements

Extensive experience in building production systems, backend and frontend development, handling unstructured data, and applying ML/analytics in practical applications.

Full 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.

This job posting was last updated on 1/8/2026

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