AI Safety & Security

An agent keeps repeating tools without making progress. How would you diagnose it?

Uses traces to separate unclear goals, bad tool interfaces, missing state, contradictory results, poor termination, and retry amplification.

Build an offline AI evaluation harness with slice-based release gates

Builds a reproducible evaluation harness that records immutable cases, versioned outputs, deterministic checks, calibrated graders, slices, and release decisions.

Build a validated structured extraction pipeline with bounded repair

Builds a schema-constrained extraction boundary that distinguishes refusal, malformed output, semantic invalidity, and safe bounded repair.

Build hybrid RAG retrieval with access control and verified citations

Builds a hybrid retrieval pipeline that enforces tenant scope before ranking, assembles a bounded context, and verifies returned citations.

Compare a managed RAG service with a custom retrieval pipeline.

Chooses between managed ingestion and retrieval convenience and custom control over indexing, ranking, security, evaluation, and operations.

Compare a manager agent, a handoff, and an agent used as a tool.

Chooses delegation patterns based on who owns the user interaction, context, final answer, permissions, and failure handling.

AI Engineering

Applied AI interview preparation grounded in real product and production decisions.

A practical AI engineering path covering model fundamentals, structured output, retrieval, evaluation, application architecture, managed cloud platforms, agents, security, and production diagnosis.