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IBM

watsonx enterprise AI platform and the open Granite model family

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Interview in a few hours? A quick sprint for IBM

AI in interviews

high confidence

AI is fine for polishing your resume, researching the role and practicing interviews. It's banned for completing assessments, technical tests or coding challenges and during live interviews unless an assessment says otherwise; violations can mean disqualification.

Checked 20 Oct 2026Source

Typical interview loop

How IBM usually runs it for applied AI and LLM engineer roles.

  1. Application screening

    Focus: Resume fit

    IBMers with relevant expertise review your application, skills and experience.

  2. Online assessment

    Focus: Coding basics, communication

    Depending on the role, a coding test (usually HackerRank-style), a recorded video assessment and/or an English test.

  3. Technical interview

    Focus: Projects and fundamentals

    One or two live video rounds with a senior engineer or manager mixing coding, CS fundamentals and detailed questions on your past projects.

  4. Managerial round

    Focus: Behavioral and team fit

    A live conversation on how you handle deadlines, conflict and collaboration, and fit with the team.

  5. Decision

    Focus: Offer

    IBM shares its decision after the final interview, then sends offer paperwork and onboarding guidance.

How it weights your plan

Selecting IBM when you build a plan multiplies each topic’s priority score:

Behavioral+20%
RAG+10%
System design-20%
Inference-20%

Official prep and resources

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