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2 часа назад

Machine Learning Engineer (Agentic AI)

138 300 - 232 500$
Формат работы
remote (только USA)
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

Machine Learning Engineer (Agentic AI): Designing and building production-grade AI systems for real estate applications with an accent on multi-step reasoning, structured synthesis, and tool-grounded intelligence. Focus on developing scalable AI infrastructure, implementing robust evaluation processes, and deploying autonomous agentic capabilities in live customer environments.

Location: Must be based in the United States

Salary: $138,300–$232,500 annually (location-dependent)

Company

hirify.global is the most-visited real estate platform in the U.S., dedicated to helping customers navigate buying, selling, financing, and renting homes with confidence.

What you will do

  • Design and build scalable AI infrastructure and services for agentic applications.
  • Develop advanced reasoning capabilities enabling AI agents to operate autonomously.
  • Implement monitoring, evaluation, and optimization processes for production reliability.
  • Collaborate with applied scientists and product teams to translate prototypes into production systems.
  • Contribute to best practices in distributed ML systems and responsible AI deployment.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • 2+ years of experience building production ML systems and services.
  • Experience with AI agent frameworks, orchestration, or multi-step reasoning.
  • Strong programming skills in Python and experience with frameworks like TensorFlow, PyTorch, LangChain, and LangGraph.
  • Experience designing and operating scalable, cloud-based ML infrastructure.
  • Must be based in the United States.

Culture & Benefits

  • Recognized as a Fortune 100 Best Company to Work For.
  • Inclusive and innovative culture focused on employee growth.
  • Competitive base salary and eligibility for equity awards.
  • Remote-first work environment with flexibility.
  • Commitment to equal employment opportunity and diversity.

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