COMPANY PACK · TRANSPARENCY

✓ VERIFIED · 4 PUBLIC SOURCES

OpenAI

Eng / Eval · SDET-adjacent, AI-forward · One curated set a day, tuned to this loop

Updated 2026Q2

Focus areas ranked by how strongly they show up across independent public sources. Tags shift by role & level — refreshed quarterly, never a guarantee.

MOST-TESTED FOCUS AREAS

✦

Agentic AI / AI-assisted

HIGH · 4 sources

Eval harnesses over RAG · LLM-as-judge, agentic tool-calling on MCP, hallucination and safety-regression detection

100%difficulty

▥

Test Architecture

MEDIUM · 3 sources

Design an eval / measurement system · CI evals on each model and agent change, 50–200 regression suites

80%difficulty

🔍

Scenario-based

MEDIUM · 3 sources

Debug retrieval / agent pipelines · reason through production failures and safety edge-cases

60%difficulty

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Hands-on Coding

MEDIUM · 2 sources

Live coding + ML fundamentals · move between theory and production without losing accuracy

45%difficulty

ALSO TESTED, LIGHTER — BELOW THE TOP 4

⚖Bar-raiserMission/safety alignment is discussed but not a dedicated graded behavioral round in public accounts.

High 5+ · Medium 3–4 · Emerging ≤2 sources

One curated set a day, tuned to this loop. Unlock to start.