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AI Research Engineer (AI)

Формат работы
remote (только USA)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
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
AI Research Engineer (AI): Building production AI systems, agentic pipelines, and machine learning applications that transform nationwide real estate and public-record data into actionable land-development intelligence with an accent on LLMs, data processing, and geospatial systems. Focus on scaling inference across hundreds of millions of records, engineering reliable extraction and evaluation workflows, and shipping research-driven features across all 50 states.

Location: United States (remote); candidates must already be authorized to work in the United States without current or future employment visa sponsorship. Remote, hybrid, and in-office work are available, with an office in Portland, Oregon.

Company

hirify.global is building an AI-native platform that helps homebuilders, developers, and investors discover, analyze, and act on land opportunities using proprietary technologies and data from all 50 states.

What you will do

  • Build and improve the AI systems behind SearchAI, ZoneAI, SiteAI, CouncilAI, and DevMap.
  • Design reliable agentic harnesses and pipelines that discover, crawl, and extract information from municipal and county sources.
  • Develop evaluation datasets and benchmark sets to improve extraction and inference accuracy.
  • Scale model inference and data processing for throughput, cost efficiency, failure handling, and national workloads covering hundreds of millions of records.
  • Work with parcel geometry, zoning, topography, and market data across all 50 states.
  • Ship production-quality Python code, integrate research into platform features, and collaborate on architecture and prioritization.

Requirements

  • United States work authorization without current or future sponsorship is required.
  • PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent industry experience.
  • 5+ years of software engineering experience delivering production systems.
  • Strong experience with data pipelines, orchestration, agentic systems, model inference, and large-scale data processing.
  • Hands-on experience deploying LLMs in production, including prompt engineering, context engineering, and evaluation.
  • Strong Python skills and the ability to own deployments.

Nice to have

  • Experience with geospatial data, PostGIS, spatial analysis, or satellite imagery.
  • Experience with optimization or computational geometry.
  • 2+ years of experience at an early-stage startup.
  • Background in proptech or real estate data.

Culture & Benefits

  • Remote, hybrid, and in-office flexibility with a Portland headquarters.
  • Medical, dental, and vision insurance fully covered for employees, with partial dependent coverage.
  • Competitive salary, early-stage equity, unlimited PTO, and a hybrid/remote stipend.
  • Budget for intra-office travel and 2–3 annual in-person team meetups.
  • Founder-led transparency, direct communication, high ownership, and a focus on precision and shipping quickly.

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