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Seagate Technology

AI Engineering Hub Intern

Seagate Technology

AI Engineering Hub Intern designing and developing AI-powered prototypes for Seagate's engineering systems. Collaborating globally to build next-generation AI solutions.

Posted 7/9/2026internshipWuxi • 🇨🇳 ChinaEntry LevelWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPython

About the role

Key responsibilities & impact
  • Generative AI and Large Language Model (LLM) applications
  • Retrieval-Augmented Generation (RAG) solutions
  • AI Assistants and Engineering Copilots
  • Model Context Protocol (MCP) integrations
  • AI Agent and workflow automation solutions
  • Design, develop, and evaluate AI-powered prototypes and proof-of-concept solutions
  • Build integrations between AI applications and enterprise engineering platforms, such as Windchill PLM, JIRA, TPM, and other business systems
  • Develop AI orchestration workflows that leverage multiple engineering systems and data sources to automate and streamline complex business processes
  • Assist with data preparation, system integration, validation, and end-to-end testing of AI solutions
  • Collaborate with IT leads, architects, and business stakeholders to understand requirements and translate them into practical AI-enabled solutions
  • Document designs, implementation approaches, test results, and lessons learned to support solution adoption and continuous improvement

Requirements

What you’ll need
  • Senior undergraduate, Master's, or PhD student
  • Major in Computer Science, Artificial Intelligence, Software Engineering, Automation, Electrical Engineering, Robotics, Data Science, or related disciplines
  • Programming experience in Python, Java, JavaScript, C/C++, C#, or related technologies
  • Understanding of software development fundamentals and data structures
  • Ability to read and communicate in English in a global work environment
  • Experience or coursework in one or more of the following areas:
  • Generative AI
  • Large Language Models (LLMs)
  • Machine Learning
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Model Context Protocol (MCP)
  • GitHub Copilot
  • LangChain or LlamaIndex
  • REST APIs
  • Cloud Platforms (AWS, Azure, GCP)
  • Full-Stack Development
  • Data Analytics

Benefits

Comp & perks
  • Grab breakfast, lunch, dinner and snacks at our canteen, grab-and-go market and coffee shop
  • Offer basketball, badminton, yoga clubs and group exercise classes
  • Music, dance, photography, and literature clubs galore
  • Active Toastmasters International chapter
  • Frequently have on-site festivals, celebrations and community volunteer opportunities

ATS Keywords

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Hard Skills & Tools
Python ProgrammingJava ProgrammingJavaScript ProgrammingC/C++ ProgrammingC# ProgrammingMachine LearningRetrieval-Augmented Generation (RAG)Model Context Protocol (MCP)Data AnalyticsFull-Stack Development
Soft Skills
CollaborationCommunication