Internship - AI Engineering

Job description

AI Project Collaboration

Collaborate with experienced AI engineers and data scientists on projects involving Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Conversational AI, and AI Inference.

Data Analysis & Visualization

Apply statistical analysis, machine learning, and data visualization techniques to uncover insights from large and complex datasets.

Solution Design & Deployment

Design, develop, and deploy production-ready AI and analytics solutions following industry best practices.

AI-Enabled Application Development

Build and maintain software applications that integrate AI and machine learning capabilities into business processes.

Scalable AI Systems Engineering

Contribute to scalable, efficient, and real-time AI systems while ensuring high standards of data quality and engineering excellence.

Solution Operations & Support

Support solution operations through troubleshooting, debugging, enhancement requests, and continuous improvement activities.

Educational Background

Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field.

Programming Skills

Strong programming skills in Python and a solid foundation in software engineering principles.

GenAI & Agentic AI Experience

Hands-on experience with Generative AI, Large Language Models (LLMs), Agentic AI, RAG, and AI application development.

AI Frameworks & Tools

Familiarity with AI frameworks and tools such as PyTorch, TensorFlow, LangChain, LangGraph, or similar technologies.

AI Architecture Knowledge

Understanding of prompt engineering, AI agent orchestration, vector databases, embeddings, and knowledge retrieval systems.

Cloud & DevOps Exposure

Exposure to REST APIs, cloud platforms (AWS/Azure/GCP), containers (Docker/OpenShift), and modern application development practices.

Analytical & Communication Skills

Strong analytical, problem-solving, and communication skills, with a passion for building production-grade Agentic AI solutions. We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience.

Even if you don't meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Hillary Woo https://www.linkedin.com/in/hillary-woo/