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.