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AI Software Development Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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 Development Engineer (AI/on-device computing): Developing inference pipelines, media codecs, automation tooling, and multimodal AI solutions for deployment on CPUs, GPUs, NPUs, and end devices with an accent on LLMs, VLMs, AI Agents, and hardware-software co-optimization. Focus on prototyping and integrating production-ready systems, optimizing model performance, and applying quantization, distillation, and on-device deployment techniques.

Location: On-site in Shanghai, China

Company

AI engineering organization focused on bringing cloud-based intelligence to PCs and other end devices through model deployment and hardware-software co-optimization.

What you will do

  • Collaborate with model development teams to deploy LLMs, VLMs, image and video generation models, and AI Agents on devices.
  • Prototype ideas and develop inference pipelines, media codecs, and automation tools using Python and C/C++.
  • Participate in technical evaluation, prototyping, system integration, performance tuning, and product iteration.
  • Optimize systems across CPUs, GPUs, and NPUs and improve engineering efficiency with AI-powered tools.
  • Coordinate with model, hardware, and ecosystem stakeholders to scale on-device AI solutions.

Requirements

  • Master’s or PhD degree; exceptional bachelor’s candidates are also considered.
  • Proficiency in Python or C/C++ and familiarity with Windows or Linux development environments.
  • Ability to break down complex problems, evaluate AI-generated code, and turn prototypes into production-ready deliverables.
  • Strong curiosity, self-motivation, critical thinking, learning agility, and cross-team communication skills.
  • Experience with LLM, VLM, or AI Agent applications, RAG, tool-use workflows, or open-source and personal AI projects is preferred.
  • Experience with PyTorch, OpenVINO, ONNX Runtime, model quantization, distillation, LoRA fine-tuning, GPU/NPU acceleration, media processing, or system performance optimization is preferred.

Culture & Benefits

  • End-to-end exposure across models, AI Agents, system software, media processing, and hardware acceleration.
  • Ownership across the full project lifecycle, from prototyping through product launch.
  • Collaboration with leading model teams and a global R&D network.
  • Mentorship and personalized career development.
  • Engineering culture encouraging independent thinking and experimentation.

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