AI Agent And Infrastructure Engineer Intern - Fall 2025

This internship is based in multiple locations: Munich, Germany; Helsinki, Finland; and Zurich, Switzerland.

What you'll be doing:

• Develop an MCP tool to analyze microservices logs.
• Build and extend log-analysis capabilities for large-scale microservice deployments.
• Create an AI Agent to orchestrate troubleshooting across multiple microservices.
• Integrate the MCP log-analysis tool into an autonomous agent.
• Automate triage, root cause analysis, and cross-service incident workflows.
• Implement observability and feedback loops for safe operation in production.
• Evaluate and compare ReFRAG, R2R, and other retrieval/agent methods.
• Design experiments to measure performance, cost, and reliability of competing approaches.
• Propose new architectures and approaches.

What we need to see:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
• Strong programming fundamentals in at least one of: Python (preferred for AI frameworks), or Go.
• Solid understanding of data structures, algorithms, and API design.
• Basic knowledge of machine learning concepts, especially retrieval-based or agent-based architectures.
• Familiarity with Git, databases (SQL/NoSQL/Vector) and data pipelines.
• Strong problem-solving skills and eagerness to learn new technologies.
• Excellent communication and ability to work effectively in a team environment.

Ways to stand out from the crowd:

• Experience with RAG pipelines, vector databases, embeddings, or LLM orchestration.
• Exposure to MCP tools or multi-tool agent frameworks (Lang* stack preferably).
• Knowledge of containerization (Docker) and orchestration (Kubernetes).
• Familiarity with infrastructure automation.