Mandatory Internship AI Agent for Automated Machine Diagnostics and Root-Cause Analysis

Job Description:

Job Description

* During your internship, you will build a reliable agent that analyzes a user's machine behavior directly from CAN measurements and derives solutions across calibrations, software bugs, or application/hardware issues.
* You will create the agent harness, custom skills, and necessary tools or MCP servers to enable it (e.g. with LangChain).
* Furthermore, you will set up automated signal and event detection routines to capture anomalies such as limit violations, oscillations, derating, and error states.
* You will prepare appropriate context for the agent, integrating relevant documentation, parameters, and domain knowledge.
* Additionally, you will benchmark the agent against established reference cases to assess its accuracy and reproducibility.
* Moreover, you will automate the simulation loop by replaying measurements within a virtual test bench (e.g., TPT) to cross-compare simulated dynamics with measured behavior.
* Finally, you will document the developed tool and present your findings and methodology to the team

Candidate Requirements:

Qualifications

* Education: studies in the field of Electrical Engineering, Mechatronics, Computer Science or comparable
* Experience and Knowledge: in Python development, LangChain, Agentic Workflows; basic knowledge of control systems and signal analysis
* Personality and Working Practice: you excel at analyzing challenges critically, driving innovative solutions, and learning continuously while communicating openly with others
* Work Routine: your on-site presence is required
* Enthusiasm: for AI workflows, Agents and Applications
* Languages: fluent in English and very good in German