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4 дня назад

AI Software Engineer Intern

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
China
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 Software Engineer Intern (AI Agents/LLM Inference): Developing and optimizing AI Agent runtimes, agent kernels, task execution frameworks, and performance monitoring systems with an accent on planning, reasoning, tool invocation, context management, and large language model inference. Focus on designing executable agent task structures, profiling complex workloads, optimizing deep learning systems, and deploying agent technologies for software engineering and automated operations.

Location: On-site in PRC, Shanghai, China; on-site work required 4 days per week or more for an internship of at least 4 months.

Company

hirify.global develops computing technologies and systems, including artificial hirify.globalligence and software infrastructure.

What you will do

  • Design, develop, and optimize AI Agent runtimes, agent kernels, and task execution frameworks.
  • Research and improve agent planning, reasoning, tool invocation, and execution mechanisms for complex tasks.
  • Develop workflows, memory systems, tool-use capabilities, multi-agent collaboration, context management, task orchestration, state management, and execution pipelines.
  • Build performance evaluation, profiling, and monitoring frameworks for Agent systems.
  • Identify and resolve performance bottlenecks in large-scale and complex workloads.
  • Drive Agent technology adoption in software engineering productivity, hirify.globalligent operations, and automated engineering workflows.

Requirements

  • Master’s or PhD student in Computer Science, Artificial hirify.globalligence, Software Engineering, or a related field.
  • Proficiency in Python, solid coding skills, and good software engineering practices.
  • In-depth understanding of at least one area of deep learning systems or large model inference, including PyTorch, TorchDynamo, FX, Inductor, or LLM inference workflows such as KV cache and prefill/decode stages.
  • Understanding of large language models beyond API-level usage, including inference behavior, performance bottlenecks, and engineering constraints.
  • Strong problem decomposition skills and the ability to model complex engineering problems into executable AI Agent task structures.

Nice to have

  • Experience with large model quantization techniques.
  • Familiarity with mainstream inference acceleration or deployment frameworks.
  • Knowledge of or experience in low-level kernels, operators, or performance optimization.
  • Hands-on experience deploying AI Agents for real-world tasks.
  • Experience with complex engineering systems such as automated testing, benchmarking, CI, or performance analysis tools.
  • Open-source contributions related to models, systems, compilers, acceleration, or Agent frameworks.
  • Availability for an internship of at least 4 months, with on-site work 4 days per week or more.

Culture & Benefits

  • Full-time student/intern position.
  • On-site work model in Shanghai, China.
  • Shift 1 schedule in China.
  • Employment practices follow local equal-opportunity and ethical hiring requirements.

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