Nvidia AI Agent Infrastructure Engineer Intern - Fall 

Germany, North Rhine-Westphalia 

120299485

What you'll be doing:

• Develop an MCP tool to analyse 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.

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