GenAI Field Application Engineer Intern

Responsibilities • Participate in the development and deployment of Generative AI use cases to improve engineering productivity, knowledge management, and business workflow automation.

• Design and implement AI-powered solutions using Microsoft Copilot, Copilot Studio, Glean, Vero, Power Automate, SharePoint and other enterprise AI platforms.

• Build and maintain internal knowledge assistants, AI agents, and document retrieval systems for engineering, sales, and customer support teams. • Develop workflows for automated information collection, report generation, knowledge extraction, and data analysis from enterprise data sources.

• Create Proof-of-Concept (PoC) projects for AI-driven engineering use cases including technical knowledge search, customer visit report summarization, project tracking, and task automation.

• Evaluate and benchmark different AI tools, prompt engineering techniques, and agent architectures to improve solution quality and user experience. • Collaborate with engineering, field application engineering (FAE), and digital transformation teams to identify and implement new GenAI opportunities.

• Document use cases, workflows, best practices, and technical implementation guides for internal adoption. Requirements • Master or Bachelor student in Computer Science, Software Engineering, Electronic Engineering, Artificial Intelligence, Data Science, Information Systems, or relevant disciplines.

• Strong interest in Generative AI, Large Language Models (LLM), AI Agents, and enterprise AI applications. • Familiar with Python programming and basic software development practices.

• Familiar with one or more AI frameworks or platforms such as OpenAI API, Azure AI Services, Microsoft Copilot, Copilot Studio, LangChain, Semantic Kernel, or similar technologies.

• Understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, or knowledge management concepts is a plus. • Familiar with Microsoft 365 ecosystem including SharePoint, Teams, Power Automate, Power Apps, or Power BI is a plus.

• Experience with web development, data visualization, workflow automation, or chatbot development is a plus. • Strong analytical thinking and problem-solving skills.

• Good communication skills and teamwork for cross-functional and global collaboration. • Good English reading and writing skills. Preferred Qualifications • Experience with AI agent development, chatbot implementation, or LLM-based applications.

• Experience with Glean, Vero, Microsoft Copilot, Copilot Studio, Power Platform, or similar enterprise AI tools. • Experience with enterprise search, knowledge management systems, or document intelligence solutions.

• Contributions to open-source projects, hackathons, research projects, or AI-related publications are highly appreciated. More information about NXP in Greater China...