Principal Engineer - Agentic AI Architect

Job Details:

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 .

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 .

Key Responsibilities 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

Develop reusable components for: memory management

tool integration

knowledge retrieval

Technical Leadership Lead architecture reviews and guide engineering teams

Mentor senior engineers and influence cross-functional teams

Drive innovation in AI + hardware convergence

What Makes This Role Unique Opportunity to define agentic AI architecture for hardware-driven systems

Work at the convergence of: AI reasoning systems

FPGA acceleration

next-generation computing platforms

High-impact role influencing future AI + semiconductor integration

Impact 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

Summary 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 .

Qualifications

• 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

• Strong background in: FPGA / ASIC / EDA systems

• Heterogeneous computing architectures

• Familiarity with: Hardware acceleration for AI workloads

• Performance optimization across system stack

• Technical Skills Programming: 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

• Robotics, autonomous systems, or real-time AI pipelines

• 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.