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AI Geofencing Event Trigger Engineer

Skylar Moreau

Full-time · Job · Chicago

About the role

Location data becomes powerful when you can act on it in real time. A customer walking into a competitor's parking lot. A delivery truck detouring off the planned route. A field technician arriving at a service location. These events trigger business actions — a push notification, a routing update, a service log entry — but only if the geofencing system can detect them with sub-5-second latency at scale. We process location pings from 2.3 million opted-in devices per day and evaluate them against 180,000 active geofences for 240 enterprise clients. The current system handles the throughput. The failure modes are precision and recall: geofences that fire on nearby devices that haven't actually crossed the boundary, and boundary crossings that get missed during brief GPS dropouts. You'll improve the detection logic: building adaptive boundary tolerances based on device accuracy metadata, implementing trajectory prediction to fill in GPS gaps, and creating the monitoring that tells clients when their geofences are underperforming. The platform team is four engineers; you'll own the detection pipeline.

Responsibilities

  • Improve geofence boundary crossing detection precision and recall
  • Build adaptive tolerance logic using device GPS accuracy metadata
  • Implement trajectory prediction to handle GPS signal dropout gaps
  • Create per-client geofence performance monitoring with SLA alerting
  • Optimize detection pipeline throughput for 2.3M devices at sub-5-second latency
  • Develop evaluation framework using ground-truth location verification datasets

Requirements

  • 3+ years in geospatial engineering or location data processing
  • Experience with real-time event processing at high throughput
  • Strong Python and SQL skills with familiarity in spatial data types
  • Understanding of GPS accuracy models and location uncertainty
  • Ability to work with enterprise clients to diagnose geofence performance issues

Benefits

  • Fully remote with flexible schedule
  • Health, dental, and vision insurance
  • 401(k) with match
  • $2,500 annual professional development budget
  • Home office setup stipend

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Categories

data science & analytics Automation & AI Workflows

Skills

python sql spark aws fastapi

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Job Type

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Level

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Language

English

Salary Range

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AI Expertise

data science & analytics Automation & AI Workflows

Skills

python sql spark aws fastapi statistics

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