About our group:

Global Wafer Systems (GWS) designs, develops, and supports critical business solutions for factory locations across Asia, Europe, and the United States. We work with business and engineering teams to advance smart factory capabilities through real-time data, automation, analytics, and artificial intelligence. Our solutions include AI-enabled image processing, autonomous data monitoring, recommendations, and decision-support workflows.

About the role - you will:

As an AI-Native Developer Intern, you will help turn business and factory challenges into practical AI-enabled solutions. You will learn by building, testing, and improving prototypes that combine software engineering, data, and Generative AI, with guidance from experienced engineers and cross-functional partners.

Build and enhance AI-native features for internal applications, including conversational experiences, summarization, classification, information extraction, and decision support.
Prototype solutions using modern Generative AI techniques such as prompt design, prompt templates, structured outputs, tool use, and lightweight evaluations.
Implement Retrieval-Augmented Generation (RAG) workflows by preparing documents, creating embeddings, managing metadata, and connecting to vector search services under guidance.
Develop scripts, APIs, or small services that connect applications to enterprise data sources and large language model endpoints.
Use SQL and Python to prepare data, validate outputs, troubleshoot issues, and create simple datasets for AI features and reporting.
Contribute to AI agents that automate multi-step tasks and improve factory intelligence, while keeping human oversight, reliability, and responsible AI practices in mind.
Experiment with evaluation approaches to assess relevance, accuracy, consistency, safety, and user usefulness, then iterate based on results and feedback.
Follow engineering practices such as version control, code reviews, unit testing, documentation, and basic CI/CD.

What You Will Gain

Practical experience building AI-native solutions for real factory and business use cases.
Exposure to the full development lifecycle, from problem framing and prototyping to evaluation, integration, documentation, and demonstration.
Mentoring and collaboration with software, data, AI, product, and business teams in a global environment.
An opportunity to develop a portfolio-quality project with measurable user and operational value.

About you:

Hands-on interest in building AI-enabled applications and solving real business or manufacturing problems.
Curious, adaptable, and comfortable experimenting with new technologies, learning from feedback, and working through ambiguity.
A collaborative communicator who can work effectively with cross-functional and global teams.
Commitment to responsible development, including data protection, secure engineering, transparent evaluation, and appropriate human oversight.

Your experience includes:

Currently pursuing a degree in Computer Science, Software Engineering, Information Systems, Data Science, Artificial Intelligence, or a related discipline.
Programming experience in Python or a similar language, demonstrated through coursework, personal projects, hackathons, or previous internships.
Basic SQL knowledge, including SELECT, JOIN, GROUP BY, and simple data validation or troubleshooting.
Familiarity with REST APIs, JSON, Git, and clean coding practices.
Exposure to Generative AI concepts such as large language models, prompting, RAG, AI agents, safety considerations, and output evaluation.
Basic understanding of data preparation for structured or unstructured information.
Experience with GenAI frameworks, embeddings, vector databases or search, function or tool calling, or model evaluation.
Familiarity with web or user-interface development for chat, assistant, dashboard, or workflow experiences.
Awareness of containers, microservices, cloud services, CI/CD, logging, monitoring, Docker, or Kubernetes.
Experience with common data formats and lightweight data processing, such as CSV, JSON, Parquet, or basic ETL concepts.
A portfolio, Git repository, or project demonstration that shows how you approach a problem and learn through iteration.

Location:

Our Penang office is located in Suntech at Cybercity, easily accessible via public transportation. Enjoy amenities such as an on-site gym, ping-pong and badminton facilities, and a café serving breakfast, lunch, and coffee. Prefer dining out? A public food court across the street offers a variety of delicious options.

Location: Penang Malaysia Suntech
Travel: None