5 дней назад
AI Engineer (Agentic AI Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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