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7 дней назад

Agentic AI Architect (FPGA/ASIC)

Формат работы
onsite
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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Описание вакансии

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TL;DR
Agentic AI Architect (FPGA/ASIC) (LLMs, RAG, agentic systems): Designing and developing scalable agentic AI systems integrated with FPGA and ASIC platforms with an accent on multi-agent orchestration, knowledge retrieval, and hardware-aware inference optimization. Focus on co-designing AI architectures across CPU/GPU/FPGA systems, optimizing LLM deployment through quantization and compilation, and building production-grade reasoning pipelines.

Location: Shanghai, China

Company

hirify.global develops hardware-driven computing platforms and AI systems integrating software intelligence with FPGA and ASIC acceleration.

What you will do

  • Design and implement agentic AI systems using LLMs, tools, and multi-agent orchestration.
  • Architect enterprise-scale RAG pipelines covering data ingestion, reasoning, and action.
  • Co-design AI systems for heterogeneous CPU, GPU, and FPGA computing environments.
  • Optimize LLM inference on FPGA platforms through quantization, compilation, and workload partitioning.
  • Build reusable platform components for memory management, tool integration, and knowledge retrieval using LangChain, LlamaIndex, and custom orchestration frameworks.
  • Lead architecture reviews, guide engineering teams, and drive AI and hardware convergence.

Requirements

  • Master’s or Bachelor’s degree with 10+ years of experience in AI/ML systems, distributed systems, or hardware–software co-design.
  • Recognized expertise in AI and large language models, including LLM architectures, inference, RAG systems, vector databases, and agentic AI.
  • Experience building production-grade LLM applications, multi-step reasoning workflows, and scalable AI systems.
  • Strong background in FPGA, ASIC, EDA systems, heterogeneous computing, and AI workload acceleration.
  • Proficiency in Python and experience with distributed systems, APIs, microservices, and cloud or edge AI deployment.
  • Hands-on experience with LLM fine-tuning, quantization, model distillation, on-device AI, compiler stacks such as MLIR or TVM, and real-time AI pipelines.

Culture & Benefits

  • Regular employment position on Shift 1 in China.
  • Opportunity to influence next-generation AI and semiconductor integration.
  • Cross-functional collaboration with AI and hardware engineering teams.

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