Resources / Interview questions

The questions AI teams are actually asking in 2026.

Sourced from real KDigital placement loops — 900+ questions across six round types, each with what the panel is testing and how strong answers are structured.

910
Questions in the bank
6
Round types
4
Scored mocks per learner
2026
Refreshed for this year
Question bank by round

Pick a round. See the real questions.

Tap any question to see what the panel is testing and how to structure the answer.

What the panel is testing
Whether you think in autonomy levels and blast radius rather than "can the model do it".
Structure a strong answer
Classify by reversibility and blast radius — a draft is reversible, a refund is not.
Name the evidence you would need to step autonomy up: eval pass rate, approval rate over N runs, zero authorization violations.
State the actions you would never delegate: credentials, money movement, entitlement changes.
Trap:Saying "once accuracy is high enough" without defining measured on what set, and against which failure class.
Mock interview sprint

Four mocks. Recorded. Scored.

Every enrolled learner gets four panel mocks — technical, agent design, system design and hiring-manager — recorded, scored against a rubric, and reviewed line by line.

01 Technical screen — fundamentals in your stack
02 Agent design round — grounding, autonomy, failure modes
03 System design round — multi-tenant, cost, observability
04 Hiring-manager round — ownership, incidents, tradeoffs
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Role-wise banks

Download the bank for your target role.

Forward Deployed AI Engineer

180 Qs

Deployment, grounding, autonomy decisions, customer-facing incident handling.

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AI Product Owner

140 Qs

Value framing, eval specs, governance forums, stakeholder risk translation.

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Applied AI Engineer

165 Qs

Retrieval, fine-tuning, tool-calling design, cost-quality tradeoffs.

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Data Engineer

150 Qs

SQL depth, modelling, contracts, lineage, PII scope for agent reads.

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LLMOps / AgentOps

120 Qs

Pipelines, tracing, spend control, rollback, on-call runbooks.

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Quality / Eval Engineer

110 Qs

Golden sets, adversarial cases, release gates, judge calibration.

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Modern Business Analyst

95 Qs

Discovery, testable acceptance criteria, UAT with refusal cases.

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ServiceNow AI Platform

105 Qs

Scoped apps, Flow Designer, Integration Hub, ACLs and instance hygiene.

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At a glance

Interview Questions

Question banks by role, with the reasoning interviewers are actually assessing.