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7 дней назад

AI Framework Engineer - QA & Benchmarking

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
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 Framework Engineer - QA & Benchmarking (Python/LLM): Building automated QA flows and end-to-end benchmarks for PyTorch, vLLM, and SGLang with an accent on agentic testing, hardware validation, and performance regression tracking. Focus on designing LLM-driven bug detection, reproducing latency and throughput issues, and integrating tests into CI/CD pipelines.

Location: On-site in Shanghai, China

Company

hirify.global develops technology for grocery commerce and delivery.

What you will do

  • Design and build automated QA flows using LLMs and agents to detect, triage, and report framework and hardware bugs.
  • Run, maintain, and expand end-to-end benchmarks, unit tests, and microbenchmarks for PyTorch, vLLM, and SGLang.
  • Validate latency, throughput, and functionality across different hardware platforms.
  • Track and reproduce performance regressions.
  • Document bug reproduction steps and integrate tests into CI/CD pipelines.

Requirements

  • Bachelor’s or master’s degree in software engineering or a related field.
  • Proficiency in Python.
  • Basic understanding of deep learning, Transformer models, and standard model execution flows.
  • Comfort working in Linux, using Bash shell scripting, and managing code with Git.
  • College graduate suitable for an entry-level engineering role.

Nice to have

  • Hands-on experience or coursework with PyTorch, vLLM, or SGLang.
  • Experience building basic LLM applications, scripts, or agent workflows using LLM APIs or frameworks such as LangChain.
  • Knowledge of unit testing, regression testing, or CI/CD tools such as GitHub Actions.
  • Familiarity with Docker or profiling tools such as PyTorch Profiler.

Culture & Benefits

  • Full-time employment.
  • Shift 1 working schedule in China.
  • On-site work model.

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