Design GenAI Fine-Tuning and Agent Tradeoffs
Company: Two Sigma
Role: Software Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Technical Screen
Quick Answer: This question evaluates competency in generative AI fine-tuning techniques and production agent architecture, including trade-offs among full-precision, LoRA, and QLoRA approaches, resource and latency constraints, scaling decisions, observability, schema validation, orchestration, and safety mechanisms within the ML system design domain.