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Most engineers describe their AI projects like this: “Built a chatbot using GPT-4 and RAG.” Inside the Bootcamp, we go deeper into: • Decision trails in real production systems • Agent orchestration trade-offs • Guardrail placement strategy • Cost and latency constraint design • Interview simulation for senior AI roles Details: https://bootcamp.nachiketh.in That framing works for junior roles. It fails at Staff and Principal levels. At senior interviews, implementation is assumed. Judgment is evaluated. In this video, I break down: • Why output-focused descriptions signal junior • The difference between tool usage and architectural decisions • The 6-node Decision Trail framework • How to reframe an Agentic AI project for senior roles • The exact probing questions Staff-level interviewers ask If you're preparing for Agentic AI, RAG, or AI Architect roles, this is not resume advice. This is signaling architecture-level thinking. Inside the Bootcamp, we go deeper into: • Decision trails in real production systems • Agent orchestration trade-offs • Guardrail placement strategy • Cost and latency constraint design • Interview simulation for senior AI roles Details: https://bootcamp.nachiketh.in