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4 дня назад

AI Software Engineering Intern (AI PC)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US/China
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

AI Software Engineering Intern (AI PC): Developing and enabling Agentic AI systems on AI PC platforms with an accent on multi-step reasoning, tool usage, and task orchestration. Focus on building AI infrastructure, experimenting with new AI models, and optimizing workflows for next-generation client AI experiences.

Location: Must be based in Shenzhen or Beijing (On-site)

Company

hirify.global is a global leader in computing innovation, driving revenue growth and market expansion through a diverse product portfolio and strategic sales initiatives.

What you will do

  • Set up and maintain AI development environments on AI PC platforms including OS, drivers, and toolchains.
  • Develop and experiment with Agentic AI systems, focusing on multi-step reasoning, memory, and task orchestration.
  • Explore and integrate new AI models and applications relevant to client-side usage scenarios.
  • Support pretraining and fine-tuning methodologies, including data pipelines and training workflows.
  • Implement AI coding tasks across infrastructure and application layers to enable agent-based workflows.
  • Evaluate functionality, performance, and usability of agentic AI workloads on client platforms.

Requirements

  • Must be enrolled in a Master's degree program in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Strong background in AI and Deep Learning fundamentals, including neural network models.
  • Proficiency in Python programming.
  • Experience with AI frameworks such as PyTorch or TensorFlow.
  • Familiarity with LLM-based workflows, AI agents, or task-oriented AI systems.
  • Must be able to work on-site in Shenzhen or Beijing.

Nice to have

  • Hands-on experience with multi-agent systems, tool calling, or workflow orchestration.
  • Experience with pretraining or fine-tuning large AI models.
  • Familiarity with AI infrastructure frameworks like openclaw.
  • Understanding of system-level concepts such as performance and resource utilization.

Culture & Benefits

  • Opportunity to contribute to next-generation client AI software ecosystems.
  • Collaborative, cross-functional engineering environment.
  • Focus on career advancement and skill development within a global technology leader.
  • Exposure to cutting-edge AI PC hardware and software integration.

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