Senior AI Engineer - Freelance at Mirakl - Labs · Paris, France
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B2B
A time you used B2B: the problem, what you did yourself, and what happened.
From the ad's requirements
Python
A time you used Python: the problem, what you did yourself, and what happened.
From the ad's requirements
5+ years of experience
How your experience adds up to what they ask for (5+ years), and the parts most like this job.
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
Hands-on experience building production AI systems using LLMs, RAG, and AI Agents
An example from your own work that shows this.
From the ad's requirements
Experience designing multi-step agentic workflows and retrieval systems
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From the ad's requirements
Experience evaluating AI systems and improving model performance
An example from your own work that shows this.
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Experience deploying and operating production services in cloud environments
An example from your own work that shows this.
From the ad's requirements
Strong communication skills in English
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From the ad's requirements
Curiosity, pragmatism, and passion for building AI products
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 Mirakl - Labs on JobRipe yet. Use the job ad and our guide below.
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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: B2B is named in the posting.
How to answer: One concrete project, one honest lesson.
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Why they ask: Python 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