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15 часов назад

AI Engineer (ML/LLM)

224 000 - 344 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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 Engineer (ML/LLM): Building and deploying ML and LLM systems to optimize data center operations and infrastructure scaling with an accent on agentic systems, model evaluation, and production-grade reliability. Focus on solving complex forecasting and scheduling challenges while integrating predictive models into internal tooling.

Company

hirify.global is building civilization-scale infrastructure for AI, focused on delivering massive compute capacity through rapid data center design and operation.

What you will do

  • Build and deploy ML and LLM systems to forecast build timelines and extract structure from vendor documents.
  • Own models end-to-end, from problem framing and data collection through to production deployment and iteration.
  • Develop agentic systems with robust guardrails, authorization, and audit capabilities.
  • Partner with data engineering and product teams to integrate predictive insights into internal operational tools.

Requirements

  • Must be based in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA.
  • Proven experience shipping ML or LLM features to production and maintaining them post-launch.
  • Experience building evaluation harnesses for model quality assessment.
  • Hands-on experience with LLM APIs, fine-tuning, or retrieval systems.
  • Ability to write production-quality code and work fluently with AI coding tools.

Nice to have

  • Experience with forecasting or scheduling problems.
  • Background in document extraction at scale.
  • Familiarity with agentic frameworks, MCP, or temporal/workflow engines.

Culture & Benefits

  • High-intensity, high-velocity work environment focused on frontier AI problems.
  • Full autonomy and end-to-end ownership of projects.
  • Competitive compensation package including base salary and equity.
  • Commitment to pay equity and transparency.

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