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8 дней назад

Software Engineer (Spatial Data/AI)

150 000 - 200 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer (Spatial Data/AI): Building staged ingestion and conflation pipelines that transform complex retail and spatial data into versioned, high-fidelity insights with an accent on entity resolution, hybrid AI strategies, and scalable data processing. Focus on matching computer vision detections to product catalogs, integrating LLMs with rules-based normalization, and evolving schemas without breaking downstream dashboards.

Location: Remote within the United States

Salary: $150,000–$200,000 USD annually, plus equity

Company

hirify.global builds a spatial computing and wearable AI platform that provides real-time, store-level insights for physical retail environments.

What you will do

  • Build and maintain staged, versioned pipelines for ingesting and conflating complex retail data.
  • Match computer vision detections with master product catalogs and produce unified, high-fidelity records.
  • Ensure consumer-facing dashboard data meets high standards for accuracy, reliability, and production readiness.
  • Apply rules-based normalization and RegEx for bounded tasks, and integrate LLMs for complex matching and entity resolution.
  • Design cost-effective, performant solutions for large-scale retail environments.
  • Manage data schemas and pipeline logic through rapid iteration without breaking downstream insights.

Requirements

  • Extensive experience building reliable, staged pipelines for complex ingestion tasks.
  • Experience merging disparate, messy data sources into unified golden records.
  • Practical experience with LLMs and prompt engineering, together with strong judgment about when to use simpler heuristics or RegEx.
  • Strong engineering rigor around versioning code, data schemas, and pipeline logic.
  • Experience with retail, logistics, or supply chain data, including SKUs, UPCs, or physical inventory.
  • Experience with spatial or geographic data such as GIS, LIDAR, or computer vision metadata.

Culture & Benefits

  • Fast-moving engineering environment focused on accurate, production-ready data.
  • Medical, dental, and vision benefits.
  • 401k plan.
  • Equity compensation.

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