AI Real Estate Distressed Listing Monitor
Opportunity Summary
You will design and implement an automation system that continuously monitors newly posted residential listings. The system will use AI vision to assess photos for signs of distress and also analyze listing descriptions for language commonly associated with distressed properties. If a listing is flagged, the system immediately sends an alert via SMS or email containing address, pricing, agent and brokerage contact details, a link, and a short explanation of the signals used. The target is fast notification timing, roughly within minutes of a qualifying listing appearing. The role emphasizes clean architecture and scalability, with a maintainable data source integration and reliable notification delivery.
Ideal Candidate
A senior AI engineer with experience building production pipelines, computer vision inference, and scalable notification systems. Strong emphasis on clean architecture, maintainability, and robust data integration will be crucial.
Project Insights
- Recommend a resilient listing ingestion method and document terms and compliance
- Design for idempotent processing, so reruns do not spam notifications
How to Prepare
- Outline end-to-end architecture with modules for ingestion, AI scoring, storage, and alerts
- Describe how you will tune thresholds and generate explainable reasons for alerts
Typical Challenges
- Reliable monitoring and deduplication across changing listing pages and feeds
- Balancing AI detection quality to minimize false positives
- Meeting near real-time notification requirements reliably and consistently
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Project Details
Skills & Requirements
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