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首席全栈工程师(AI与数据平台)

雇主

OnHires

地点

远程 · Remote · 美国

待遇

$面议

工作模式

远程

截止日期

1月1日

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岗位摘要

Product:AI-Native Real Estate Intelligence Platform Stage:Seed / Idea Stage Ukrainian is a plus Location:Remote (Europe) 🚀 The OpportunityWe’re building theintelligence layer for the real estate market.

岗位职责

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

申请条件

- 具备从零开始构建生产系统的丰富经验
- 扎实的后端、前端和数据工程背景(语言不限)
- 能够处理非结构化数据和不可靠的数据源
- 对机器学习/分析管道有实际理解(非研究导向)
- 有在实际系统中使用LLM的经验(不仅仅是简单的API调用)
- 具备主人翁意识和在早期阶段从事高影响力工作的兴趣
- 乌克兰语是加分项
- 工作地点:远程(欧洲)

雇主简介

OnHires是一家招聘服务公司,其客户是一家全球B2C SaaS公司,运营多个基于订阅的数字产品,拥有数百万用户,支付系统基于Stripe和PayPal。

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数据来源:Himalayas

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