Optum Agentic AI Engineer Interview Questions
The questions to prepare for a Optum Agentic AI Engineer interview. Questions from real interview reports rank first. Updated daily.
Choose between prompting, RAG, and fine-tuning based on task stability, knowledge freshness, and evaluation results.
OptumCompare when to fine-tune a foundation model versus relying on prompt engineering with a managed API.
OptumDesign state and memory management for long running agentic workflows with retrieval, persistence, serving, and failure handling.
OptumDesign an LLM serving system that balances latency, cost, scalability, and safety for production traffic.
OptumSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Design a CI/CD pipeline for AI model deployment with automation, orchestration, infrastructure, and quality gates.
OptumExplain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.
OptumReduce hallucinations in a RAG system even when retrieval is already correct, using grounding, verification, and evaluation.
OptumEvaluates your ability to define meaningful metrics and tests for agent quality and reliability.
Optum