- Location
- Tianjin (Teda), China
- Type
- Internship
- Department
- IT
- Seniority
- Internship
- Education
- PhD
- Source
- Workday
Description
The role involves leveraging the company's internal AI platform to build domain-specific assistants using technologies such as LLMs, RAG (Retrieval-Augmented Generation), and Knowledge Graphs. No prior STA experience is required, but an interest in applying AI to engineering problems is highly desirable.
Key Responsibilities
- Develop AI Agents using the company's internal AI platform.
- Build and maintain RAG/KAG-based knowledge systems.
- Explore the use of LLMs to assist engineering workflows, such as information retrieval, report analysis, and issue investigation.
- Work with STA and CAD engineers to understand requirements and identify automation opportunities.
- Evaluate and improve Agent performance through prompt engineering and knowledge optimization.
- Document solutions and share best practices with the team.
Required Qualifications
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, AI, or related fields.
- Basic knowledge of LLMs and AI Agent concepts.
- Programming experience in Python.
- Familiarity with RAG, vector databases, knowledge graphs, or related AI technologies.
- Strong problem-solving skills and willingness to learn new domains.
Skills
Python