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9 часов назад

AI Engineer – Technical Leader (Agentic AI & FPGA Systems)

Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
AI Engineer – Technical Leader (Agentic AI & FPGA Systems) (Agentic AI, LLM, RAG, FPGA): Designing and deploying agentic AI systems that integrate LLM reasoning, retrieval, orchestration, and FPGA/ASIC hardware acceleration with an accent on model optimization, hardware-aware architecture, and scalable inference. Focus on quantization, graph compilation, operator fusion, heterogeneous CPU/GPU/FPGA partitioning, and mapping PyTorch or Hugging Face models to low-latency FPGA pipelines.

Location: Shanghai, China

Company

hirify.global develops semiconductor and FPGA-based computing platforms for intelligent and hardware-accelerated systems.

What you will do

  • Architect and implement end-to-end agentic AI systems spanning data, reasoning, action, and hardware acceleration.
  • Design multi-agent orchestration frameworks and enterprise-grade RAG pipelines for knowledge integration and retrieval.
  • Evaluate and integrate open-source and proprietary LLMs, optimizing prompting, memory, and reasoning strategies.
  • Lead AI model optimization and deployment on FPGA platforms, including quantization, graph compilation, operator fusion, and model partitioning.
  • Map computer vision and LLM inference models from PyTorch or Hugging Face to FPGA-based low-latency pipelines.
  • Set technical direction, lead architecture reviews, mentor engineers, and coordinate software, infrastructure, and hardware teams.

Requirements

  • Strong experience with LLMs, agentic AI, or RAG systems.
  • Proven experience in large-scale AI system architecture and production deployment.
  • Strong Python or C++ programming skills and experience with modern AI frameworks.
  • Experience designing distributed or production AI systems with strong system-level thinking across software and infrastructure.
  • Ability to work across AI systems, FPGA/ASIC architecture, and heterogeneous CPU/GPU/FPGA platforms.

Nice to have

  • Experience with FPGA, ASIC, or other hardware acceleration platforms.
  • Familiarity with FPGA synthesis, compilation, HLS, and runtime toolchains.
  • Experience with hardware-oriented model quantization, compilation, and deployment.
  • Exposure to EDA tools, semiconductor design workflows, and heterogeneous computing systems.

Culture & Benefits

  • Full-time regular employment.
  • Work on AI reasoning systems, FPGA acceleration, and next-generation computing platforms.
  • Opportunity to shape software-hardware co-design and AI–semiconductor integration.

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