Agentic AI / LLM Engineer Intern
GlobalFoundries- Posted 15 hours ago
- Be among the first 10 applicants
Job Description
About GF
GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF's talented, global team remains focused every day on security, longevity and sustainability. For more information, visit .
Internship Program Overview:
Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you'll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.
Summary of Role:
We are looking for a motivated intern to join our Digital Manufacturing Agentic AI / LLM team. You will help build practical AI-powered applications, intelligent assistants, and agent-based workflows that improve engineering productivity and decision-making in semiconductor manufacturing. This internship combines software engineering, Generative AI, data integration, and exposure to real manufacturing challenges.
You will work with software engineers, data scientists, and manufacturing subject matter experts to turn business needs into usable prototypes and production-ready capabilities. No prior semiconductor manufacturing experience is required curiosity, strong fundamentals, and a willingness to learn are important.
Essential Responsibilities include:
- Prototype and develop Agentic AI and LLM-powered applications for Digital Manufacturing use cases.
- Develop and test backend services using Python, Flask or similar frameworks, REST APIs, and relational databases.
- Create simple, responsive user interfaces using JavaScript or TypeScript and frameworks such as Angular, React, or Vue.
- Connect AI applications to approved manufacturing data sources, APIs, dashboards, and enterprise systems.
- Evaluate LLM responses for accuracy, relevance, grounding, safety, and usefulness document findings and improvement opportunities.
- Create reusable prompts, components, services, and workflow patterns that can be applied across multiple manufacturing use cases.
- Use Git, code reviews, automated testing, and CI/CD practices to deliver changes safely.
- Prepare clear technical documentation, demonstration materials, and a final internship presentation.
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
- Education - Currently pursuing bachelor's, Software Engineering, Artificial Intelligence, Data Science, Electrical & Electronic Engineering, or a related field.
- Basic programming experience in Python.
- Basic familiarity with SQL, structured data, REST APIs, or web application development.
- Strong analytical, problem-solving, communication, and teamwork skills.
- Interest in Generative AI, large language models, and applying AI to real business problems.
- Ability to work independently, learn quickly, and communicate progress clearly.
Preferred Qualifications:
- Coursework, projects, or hackathon experience involving LLMs, RAG, chatbots, AI assistants, or agent-based applications.
- Exposure to LangGraph, Microsoft Semantic Kernel, Pydantic AI, Model Context Protocol (MCP), or similar frameworks and concepts.
- Experience with Flask or FastAPI, JavaScript or TypeScript, and Angular, React, or Vue.
- Familiarity with Git, automated testing, CI/CD pipelines, containers, or cloud platforms such as AWS.
- Experience with vector databases, prompt evaluation, observability, or workflow automation.
- Interest in semiconductor, manufacturing, industrial, maintenance, yield, quality, or facilities use cases.
.Please indicate your internship period clearly in your CV/Resume/Cover Letter.
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