Applied AI, Research Engineer
This is an analysis of the public job description. It is not a confirmed description of this company's interview process, and no company has reviewed or endorsed it.
What the posting clearly emphasises
- Probing model capability and building demos, evaluations and prototypes.
- Customer-facing technical depth and technical enablement.
- Agents and workflows feeding product and research back to each other.
What that likely means for preparation
- Prototype speed under scrutiny is the signal: be ready to build something small and defend why it is convincing evidence rather than a demo trick.
- Expect a customer scenario: a capability does not survive contact with a real workflow, and you have to say so credibly.
- Agent and workflow design questions are likely, with reliability and failure handling as the follow-up.
What stays unknown about the loop
- Whether a live build exercise or a customer-facing presentation round is used.
- The round order, count and length. Postings describe the job, not the loop.
- Whether AI assistants are allowed, required or banned in any coding exercise.
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