4 docs tagged with "career"

Map AI Agent engineering roles to interview practice, project evidence, system skills, and a concrete job-preparation path.

Use traces to separate tool, turn, and task failures, test root-cause hypotheses, and turn confirmed failures into eval cases and regression gates.

Build one verifiable AI Agent portfolio project with architecture, tasks, traces, evals, security boundaries, failure logs, and deep-dive evidence.

Practice AI Agent system design through evolving constraints across context, tools, state, loops, graphs, permissions, and verification.