AI Engineer (Agentic AI) at Lefebvre Sdu · Den Haag, Zuid-Holland, Nederland
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REST
A time you used REST: the problem, what you did yourself, and what happened.
From the ad's requirements
Kubernetes
A time you used Kubernetes: the problem, what you did yourself, and what happened.
From the ad's requirements
LLM
A time you used LLM: the problem, what you did yourself, and what happened.
From the ad's requirements
Machine Learning
A time you used Machine Learning: the problem, what you did yourself, and what happened.
From the ad's requirements
Licence or certification
Whether you hold it (or when you will), and where you have used it.
The ad says: “A reference check and a VOG (certificate of good behaviour) are part of the selection process.”
From the ad's requirements
Languages: English
Be ready to answer a question or two in that language, and say where you've used it at work.
From the job listing
You have several years of experience in software or ML engineering. Depth in recent projects counts for more than years.
An example from your own work that shows this.
From the ad's requirements
Strong experience in agentic AI.
An example from your own work that shows this.
From the ad's requirements
You have hands-on experience with agent frameworks such as LangGraph and LangChain, tool calling, MCP or comparable orchestration. Our entir
An example from your own work that shows this.
From the ad's requirements
WHAT YOU'RE SIGNING UP FOR
An example from your own work that shows this.
From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for Lefebvre Sdu on JobRipe yet. Use the job ad and our guide below.
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We show an employee rating once Lefebvre Sdu has at least 5 published verified reviews. Company page
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Rigour.
How to answer: Metric choice, baselines, offline vs online tests.
Why they ask: Communication.
How to answer: Problem, approach, impact, limits.
Why they ask: LLM is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: REST is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Why they ask: Checks judgement under pressure.
How to answer: Describe a concrete framework and one example of a trade-off you made.
Questions to ask them