Agentic AI Architect

Job Description: Location: Shanghai, China Role Overview We are seeking a Principal Engineer – Agentic AI Architect to lead the design and development of next-generation agentic AI systems integrated with FPGA/ASIC platforms .

Responsibilities

• This role sits at the intersection of: Large Language Models (LLMs) Agent frameworks & autonomous systems Retrieval-Augmented Generation (RAG) Hardware-aware AI system design (FPGA / ASIC / EDA) You will define architecture, drive technical strategy, and build scalable AI systems that bridge software intelligence and hardware acceleration .
• AI Architecture & System Design Design and implement agentic AI systems using LLMs, tools, and multi-agent orchestration

Architect RAG pipelines for enterprise-scale knowledge integration

• Define end-to-end AI system architecture from data ingestion → reasoning → action
• Agentic AI & LLM Development Develop advanced workflows using: tool-using agents planning & reasoning agents multi-agent collaboration frameworks

Evaluate and integrate leading LLMs (open-source and proprietary)

• Optimize prompt engineering, memory, and reasoning capabilities Hardware-Aware AI Optimization Co-design AI systems with: FPGA acceleration ASIC platforms heterogeneous compute (CPU/GPU/FPGA) Explore LLM inference optimization on FPGA (quantization, compilation, partitioning)
• Collaborate with hardware teams on EDA and system integration
• Framework & Platform Development Build internal platforms using LangChain LlamaIndex custom agent orchestration framework
• memory management tool integration knowledge retrieval
• Lead architecture reviews and guide engineering teams
• Mentor senior engineers and influence cross-functional teams

Drive innovation in AI + hardware convergence

• Makes This Role Unique Opportunity to define agentic AI architecture for hardware-driven systems
• You will help shape how AI agents interact with hardware , enabling: intelligent system orchestration real-time decision-making pipelines scalable AI deployment on FPGA platforms
• This role is ideal for a senior technical leader who can: bridge LLM + Agentic AI + RAG with FPGA/ASIC system architecture and drive innovation in next-generation AI systems .
• Performance optimization across system stack

Requirements

• Master’s or Bachelor’s degree with 10+ years of experience in one or more of the following: AI/ML systems

Distributed systems Hardware–software co-design

• Recognized expertise in AI/ Large Language Models (LLMs) Deep understanding of: LLM architectures and inference RAG systems and vector databases
• Agentic AI / autonomous agents Hands-on experience building: Production-grade LLM applications Multi-step reasoning and orchestration workflows

Scalable and reliable AI systems in production

• Python C++ (preferred) Experience with: Distributed systems design APIs and microservices architecture
• Cloud and/or edge AI deployment Hands-on experience with: LLM fine-tuning, quantization, and model distillation On-device / edge AI deployment

Preferred

• FPGA / ASIC / EDA systems
• Robotics, autonomous systems, or real-time AI pipelines

Benefits

• AI reasoning systems FPGA acceleration next-generation computing platforms High-impact role influencing future AI + semiconductor integration
• Heterogeneous computing architectures

Familiarity with

Hardware acceleration for AI workloads

Knowledge of

Compiler stacks (e.g., MLIR, TVM) AI model optimization for FPGA platforms

Job Type

Regular Shift: Shift 1 (China) Primary Location: Shanghai, China Additional Locations: Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.