AI Engineer for Real Estate Pricing & Agents (Remote)

Property Dynamix

Dubai

Hybrid

AED 300,000 - 520,000

Full time

14 hours ago
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Job summary

Property Dynamix in Dubai is hiring an AI Engineer to design multi-agent systems that turn market data into actionable insights for real estate pricing and research. You will build tool-using agents, ensure accuracy with grounding checks, and optimise production deployments on Google Cloud.

You’ll work on data-heavy tasks, from BigQuery SQL to tool schemas, while reducing latency and cost, with a hybrid remote-friendly setup.

Qualifications

  • Experience building production-grade LLM applications with tool calls and agents.
  • Strong Python, TypeScript and SQL skills for large datasets.
  • Ability to design evaluation metrics and scorecards for model outputs.
  • Experience deploying and debugging on a cloud platform (prefer Google Cloud).
  • Ability to explain failures and justify fixes with data.

Responsibilities

  • Design and build multi-agent workflows using Google's Agent Development Kit (Python).
  • Implement tool calling with Gemini and define tools and schemas.
  • Write and optimise BigQuery SQL over millions of transactions.
  • Create guardrails and grounding checks to prevent invented outputs.
  • Develop evaluation harnesses and golden test sets to measure MOIRA improvements.
  • Manage model costs, latency, and production deployment on Google Cloud.
  • Extend Majlis connector for Claude and ChatGPT.

Skills

Python
TypeScript
LLM apps
SQL/BigQuery
Evaluation/QA
Cloud deployment
Troubleshooting

Education

CS degree or equivalent

Tools

Google Cloud
Firebase
LangGraph

Job description

Property Dynamix in Dubai is hiring an AI Engineer to design multi-agent systems that turn market data into actionable insights for real estate pricing and research. You will build tool-using agents, ensure accuracy with grounding checks, and optimise production deployments on Google Cloud.

You’ll work on data-heavy tasks, from BigQuery SQL to tool schemas, while reducing latency and cost, with a hybrid remote-friendly setup.

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