Internship - AI (Artificial Intelligence) Engineering

Infineon Technologies; Singapore; On-site; SGD 11,000 - 22,000; Full time

Job summary

Infineon Technologies AG in Singapore invites an AI Engineering intern to contribute to Agentic AI, Hybrid Customer Journey optimization, and Supply Chain & Quality Analytics. You will gain hands-on experience designing, developing, and deploying advanced AI solutions creating measurable business impact.

You will collaborate with AI engineers and data scientists, analyze data, build data pipelines, and contribute to scalable AI systems while learning enterprise AI lifecycle, analytics platforms,

Qualifications

• Pursuing a Bachelor's or Master's in CS, AI, DS, ML or related field.
• Strong Python programming fundamentals required.
• Hands-on GenAI, LLMs, RAG and AI app development experience.
• Familiar with PyTorch, TensorFlow and AI tooling.

Responsibilities

• Collaborate with AI engineers on ML/DL projects and LLMs.
• Apply statistics, ML, and visualization to big datasets.
• Design, develop, and deploy production-grade AI solutions.
• Build and maintain AI-enabled applications for business processes.
• Contribute to scalable, real-time AI systems and data quality.
• Support operations through debugging and improvements.
• Develop data pipelines to ingest and process diverse data sources.

Skills

Python

GenAI & Agentic AI

AI architecture

Analytical thinking

Communication skills

Education

Bachelor's or Master's in Computer Science / AI / Data Science / ML or related

Tools

PyTorch

TensorFlow

LangChain

LangGraph

REST APIs

Docker/OpenShift

AWS/Azure/GCP

Job description

As part of the AI Engineering team within the Center of Competence Analytics, the intern will contribute to digital transformation initiatives focused on Agentic AI, Hybrid Customer Journey optimization, and Supply Chain & Quality Analytics. The role offers hands-on exposure to the design, development, and deployment of advanced AI solutions that create measurable business impact.

Your role

Key responsibilities in your new role

• 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.
• Data Pipeline Development: Develop data pipelines and frameworks to ingest, process, and manage data from diverse enterprise sources.

Internship Learning Outcomes

• Semiconductor Industry Exposure: Gain valuable industry experience and insights into real-world business and technology challenges within the semiconductor sector.
• Semiconductor Domain Knowledge: Develop a foundational understanding of semiconductor manufacturing and business processes through structured onboarding and self-directed learning.
• Cutting-Edge Technology Experience: Acquire practical experience with cutting-edge technologies, including Generative AI, Computer Vision, Natural Language Processing, and Data Analytics.
• Enterprise AI Lifecycle Understanding: Learn how enterprise AI solutions are designed, developed, deployed, and managed in production environments.
• Analytics & Development Proficiency: Build proficiency in analytics platforms, software development practices, and production-grade data science workflows.
• Professional Skills Development: Strengthen your problem-solving, analytical thinking, and technical communication skills while working on impactful projects.

Your profile

Qualifications And Skills To Help You Succeed

• 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.

#WeAreIn for driving decarbonization and digitalization

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

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.

Lau Yu Qin