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14 дней назад

AI Applications Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Applications Engineer (AI/LLM): Building infrastructure, tools, and workflows that enable engineering teams to use AI effectively with an accent on AI agents, secure adoption, and workflow optimization. Focus on integrating AI-assisted systems, analyzing user feedback, and solving ambiguous engineering productivity challenges.

Location: Austin, Texas, United States; on-site

Company

hirify.global develops mixed-signal processing solutions for leading consumer brands and supports engineering operations with AI-enabled tools and workflows.

What you will do

  • Identify high-value opportunities for AI-enabled workflow improvements.
  • Develop and maintain AI-enabled tools for Engineering Operations.
  • Integrate AI agents and AI-assisted workflows into engineering teams’ daily work.
  • Build infrastructure for secure and scalable AI adoption across operations.
  • Demonstrate new capabilities, collect user feedback, and support adoption.
  • Convert ambiguous needs into practical solutions that improve engineering efficiency and productivity.

Requirements

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related technical field, or equivalent practical experience.
  • At least 1 year of relevant software engineering experience.
  • Strong fundamentals in software engineering, debugging, testing, and problem solving.
  • Interest in building, evaluating, and integrating AI-agent or LLM-enabled systems.
  • Familiarity with DevOps practices, CI/CD systems, and developer tooling.
  • Must be authorized to work for any employer in the United States; visa sponsorship and export-license sponsorship are not available.

Culture & Benefits

  • Collaborative work with engineering teams across operations.
  • Environment focused on inclusion, fairness, community engagement, and employee experience.
  • Opportunity to work on practical AI adoption in a fast-paced and rapidly evolving environment.

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