INTERNSHIP DETAILS

GenAI Field Application Engineer Intern

CompanyNXP Semiconductors
LocationBeijing
Work ModeOn Site
PostedSeptember 9, 2026
Internship Information
Core Responsibilities
The intern will support field application engineering tasks related to Generative AI technologies. They will assist in technical implementation and provide support to clients or internal teams.
Internship Type
full time
Company Size
22319
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We anticipate tomorrow’s needs—navigating a changing world by bringing together technology's brightest minds to build game-changing solutions that propel us forward. NXP Semiconductors N.V. (NASDAQ: NXPI) is the trusted partner for innovative solutions in the automotive, industrial & IoT, mobile, and communications infrastructure markets. NXP's "Brighter Together" approach combines leading-edge technology with pioneering people to develop system solutions that make the connected world better, safer, and more secure. The company has operations in more than 30 countries and posted revenue of $12.61 billion in 2024. Find out more at www.nxp.com. Career Development Opportunities : Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA
About the Role

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...

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Key Skills
Generative AIField Application Engineering
Categories
TechnologyEngineeringSoftware