GenAI Field Application Engineer Intern

About the role

NXP is looking for a GenAI Field Application Engineer intern in Beijing. The intern helps develop and deploy Generative AI use cases that improve engineering productivity, knowledge management and business workflow automation, working with engineering, FAE and digital transformation teams.

Key responsibilities

• 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.
• Create Proof-of-Concept projects for use cases such as technical knowledge search, customer visit report summarization, project tracking and task automation.
• Evaluate and benchmark AI tools, prompt engineering techniques and agent architectures.
• Document use cases, workflows, best practices and technical implementation guides.

Required profile

• Master's or Bachelor's student in Computer Science, Software Engineering, Electronic Engineering, Artificial Intelligence, Data Science, Information Systems or a related discipline.
• Strong interest in Generative AI, Large Language Models, AI Agents and enterprise AI applications.
• Familiarity with Python and basic software development practices.
• Good English reading and writing skills; strong analytical thinking, problem-solving and communication skills.

Required skills

• Preferred: familiarity with OpenAI API, Azure AI Services, Microsoft Copilot, Copilot Studio, LangChain, Semantic Kernel or similar.
• Preferred: understanding of RAG, prompt engineering, vector databases and knowledge management.
• Preferred: Microsoft 365 ecosystem (SharePoint, Teams, Power Automate, Power Apps, Power BI).
• Preferred: experience with AI agents, chatbots, LLM apps, Glean, Vero, Power Platform, enterprise search or knowledge management systems.