Internship - Agentic AI for Product and Test Engineering

The student, as part of the System on Product and Test Engineering (PTE) team and under the guidance of an assigned mentor, will undertake projects working on Infineon's flagship TriCore-based Automotive Micro-controllers AurixRC1 and PSOC.

• 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.