Infineon Technologies

Your Role

Key responsibilities in your new role

• MCP Server Development: Develop and extend Python-based MCP servers that integrate REST APIs of internal engineering tools (Jira, JAMA, PTV3, TsSLiM).
• RAG Pipeline Engineering: Build and improve the RAG pipeline (document ingestion, vector store, retrieval) used to ground the AI agents.
• Orchestration & Automation: Contribute to the agent orchestration layer that automates the test requirement-to-code workflow.
• Code Quality & Documentation: Write clean, tested Python code and document your work in Git.
• Validation & Iteration: Validate agent outputs against real test-engineering use cases and iterate on prompt/tooling quality.

Internship Learning Outcomes

• Agentic AI (MCP): Hands-on experience building agentic AI systems with the Model Context Protocol (MCP).
• RAG & LLM Development: Practical RAG and LLM application development (ChromaDB, sentence-transformers, LangChain).
• Semiconductor Test Engineering Exposure: Exposure to real semiconductor product test-engineering workflows and data systems.
• Software Engineering Practices: Software engineering best practices: REST integration, Pydantic validation, Git, testing.

Your Profile

Qualifications and skills to help you succeed

• Education: Bachelor's or Mastersin Computer Science, Computer Engineering, Electronics or related field.
• Python Proficiency: Proficient in Python (REST/requests, Pydantic, virtual environments).
• LLM/RAG Interest: Familiar with or keen to learn LLMs, RAG, or agentic AI frameworks.
• API & Version Control: Comfortable with Git and reading/consuming REST APIs.
• Nice to Have: Exposure to chromaDB/vector databases, streamlit, playwright, or semiconductor test concepts.
• Preferred Intake: Jan 27 – May/June 27.