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5 дней назад

AI Engineer (Agentic AI Systems)

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

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TL;DR
AI Engineer (Agentic AI Systems) (LLMs, agents, RAG, FPGA): Building production agentic AI platforms that combine LLM-powered workflows, knowledge retrieval, and hardware acceleration with an accent on end-to-end system design, multi-step reasoning, and efficient inference. Focus on designing tool-using agents, optimizing AI workloads across CPU, GPU, and FPGA, and developing reusable components for memory, context management, and retrieval.

Location: Shanghai, China

Company

hirify.global is building agentic AI platforms tightly coupled with FPGA acceleration for intelligent systems that can reason, act, and scale in real-world environments.

What you will do

  • Develop LLM-powered agents that use tools, APIs, and data to complete complex tasks.
  • Implement RAG pipelines and end-to-end systems covering data ingestion, reasoning, and action.
  • Design multi-step reasoning workflows and evaluate model accuracy, latency, and cost.
  • Build reusable platform components for memory and context management, tool integration, and knowledge retrieval.
  • Collaborate with FPGA and ASIC teams on hardware-aware AI design and optimize inference across CPU, GPU, and FPGA.
  • Build production systems used in real engineering workflows while working with senior architects and domain experts.

Requirements

  • Master’s degree, or an exceptional Bachelor’s degree, in Computer Science, Electrical Engineering, or a related field.
  • 1–3 years of experience, including internships, research, or industry experience.
  • Strong Python skills; C++ is a plus.
  • Hands-on experience with AI/ML projects or backend and distributed systems.
  • Solid fundamentals in data structures and basic system design.
  • Evidence of building a non-trivial AI project, open-source contribution, or research prototype.

Nice to have

  • Experience with LangChain, LlamaIndex, or similar frameworks.
  • Experience with vector databases such as FAISS or Milvus.
  • Exposure to RAG, prompt engineering, agent workflows, hardware acceleration, or performance optimization.

Culture & Benefits

  • Direct collaboration with senior architects and domain experts.
  • Exposure to modern AI systems and hardware acceleration.
  • Clear growth path toward Senior Engineer and Architect roles.
  • Opportunity to take ownership of production systems rather than demos.
  • Regular full-time employment on Shift 1 in China.

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