Deutsche Telekom AI Engineer Interview Questions
The questions to prepare for a Deutsche Telekom AI Engineer interview. Questions from real interview reports rank first. Updated weekly.
Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
Design the infrastructure for a multi-agent system where agents communicate, coordinate work, and recover from non-deterministic failures.
Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.
Tests your ability to design retrieval, grounding, and generation components for LLM applications.
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Explain how to engineer features for high-dimensional sparse data while controlling overfitting, dimensionality, and training cost.
Tests your ability to choose architectures that balance latency, accuracy, and resource constraints.
Tests your skills in performance optimization for real-time ML serving at scale.
Tests your understanding of embedding pipelines, indexing, and similarity search for recommendations.