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4 часа назад

Principal Engineer - Agentic AI Architect

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Principal Engineer - Agentic AI Architect (Agentic AI/FPGA): Designing scalable agentic AI systems that integrate LLMs, RAG pipelines, autonomous agents, and FPGA/ASIC platforms with an accent on hardware-aware system architecture and AI inference optimization. Focus on building multi-agent orchestration frameworks, optimizing LLM deployment through quantization and compilation, and bridging software intelligence with heterogeneous hardware acceleration.

Location: Shanghai, China

Company

hirify.global is hiring for a role focused on agentic AI architecture and FPGA/ASIC system integration.

What you will do

  • Design and implement agentic AI systems using LLMs, tools, multi-agent orchestration, and RAG pipelines.
  • Define end-to-end AI architectures spanning data ingestion, reasoning, action, and scalable deployment.
  • Co-design AI systems with FPGA, ASIC, and heterogeneous CPU/GPU/FPGA platforms.
  • Optimize LLM inference through quantization, compilation, partitioning, and hardware acceleration.
  • Build reusable platforms and components for memory management, tool integration, and knowledge retrieval using LangChain, LlamaIndex, and custom orchestration frameworks.
  • Lead architecture reviews, mentor senior engineers, and guide cross-functional technical strategy.

Requirements

  • Master’s or Bachelor’s degree and 10+ years of experience in AI/ML systems, distributed systems, or hardware-software co-design.
  • Recognized expertise in AI and LLMs, including LLM architectures, inference, RAG systems, vector databases, and autonomous agents.
  • Experience building production-grade LLM applications, multi-step reasoning workflows, and reliable AI systems.
  • Strong background in FPGA, ASIC, EDA systems, heterogeneous computing, and AI workload optimization.
  • Programming experience with Python; C++ is preferred.
  • Experience with distributed systems, APIs, microservices, cloud or edge AI deployment, model fine-tuning, quantization, distillation, and on-device AI.

Nice to have

  • Knowledge of compiler stacks such as MLIR or TVM.
  • Experience with robotics, autonomous systems, or real-time AI pipelines.

Culture & Benefits

  • Regular full-time employment.
  • Work focused on AI reasoning systems, FPGA acceleration, and next-generation computing platforms.
  • Opportunity to influence AI and semiconductor integration through intelligent hardware orchestration and real-time decision-making pipelines.

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