1. Enhance R&D efficiency through AI technology application and implementation
2. AI Application Development and Project Delivery
- Lead AI project requirements analysis, technical solution design, and product delivery
- Complete fine-tuning, alignment, and inference optimization for general models, embedded models, and inference models
- Build efficient and usable Prompt Engineering workflows to improve model task performance
3. Multi-Agent Systems and Framework Applications
- Implement multi-agent workflow orchestration using frameworks like LangChain, LangGraph, and MCP
- Design and implement key reasoning paradigms (ReAct, CoT, ToT) to improve agent system responsiveness and controllability
- Understand agent platforms such as Coze, FastGPT, and Dify
4. Knowledge Retrieval and RAG Systems
- Build document knowledge retrieval systems based on vector databases (Milvus, FAISS, Chroma, etc.)
- Design RAG architecture solutions to enable context-enhanced interactions with large language models (e.g., ChatGPT, DeepSeek)
- Improve document recall quality and reasoning relevance
5. Technical Research and Capability Development
Track AI technology trends (model alignment, multimodality, multi-agent systems, etc.), regularly complete technical research, develop application prototypes, or deliver technical presentations
Preferred Qualifications
1. Must Have
• Strong self-motivation and continuous learning ability, passionate about AI, attentive to cutting-edge technologies, industry trends, and business challenges, capable of rapid hands-on experimentation and post-mortem analysis
• Master's degree or higher in Computer Science, Artificial Intelligence, Electronics, Information Technology, or related fields, or equivalent engineering experience
• Proficient in Python or at least one backend language (e.g., Go/Java/C++), with containerization (Docker) skills, familiarity with CI/CD pipelines, and foundational MLOps practices
• Expertise in at least one specialized AI domain with practical experience and demonstrable project outcomes:
o Hands-on experience applying Prompt Engineering, LangChain, or RAG frameworks
o Familiarity with Multi-Agent system architecture and hands-on experience in orchestration using LangGraph or MCP
o Proficiency in selecting and integrating vector databases (e.g., Milvus, Chroma, FAISS)
• Strong English reading/writing and online communication skills to collaborate effectively with overseas AI leaders on goal setting, solution discussions, post-mortems, and documentation
• Results-oriented mindset with ability to decompose ambiguous problems into deliverable milestones, emphasizing system stability, observability, and maintainability
2. Nice to Have
• Background in ATE or semiconductor industry, understanding of test flows, test programs (TP), Shmoo/Waveform analysis, yield and anomaly management; familiarity with platforms like 93K is a plus
• Experience with edge or on-premises deployments, familiarity with GPU/CPU acceleration, model quantization and distillation, and optimization techniques for resource-constrained environments
• Participation in or leadership of cross-regional R&D collaboration projects, with practical experience in roadmap development, milestone decomposition, and project execution
Skills Required
- Master's degree or higher in Computer Science, Artificial Intelligence, Electronics, Information Technology or related fields
- Proficient in Python or at least one backend language (Go/Java/C++)
- Skills in containerization (Docker) and familiarity with CI/CD pipelines
- Experience in specialized AI domains and hands-on with Prompt Engineering frameworks
- Proficiency in selecting and integrating vector databases (Milvus, Chroma, FAISS)
- Strong English reading/writing and online communication skills
What We Do
For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd. Additional Information about Advantest can be found at www.advantest.com.
