Capgemini
Consulting and IT services group hiring GenAI engineers across India
Interview in a few hours? A quick sprint for Capgemini
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How Capgemini usually runs it for applied AI and LLM engineer roles.
- Focus: Background and role match
HR screening
After the recruitment team maps your CV to open roles, a recruiter runs a short phone or video screen.
- Focus: Technical basics, language
Online assessments
Where the role calls for it, proctored online technical and language tests; freshers get aptitude and coding or pseudocode tests.
- Focus: Technical depth, projects
Technical interview(s)
One or two technical interviews by video or in person, centred on your past projects and the skills the role needs.
- Focus: Motivation and culture fit
HR behavioural interview
Held after you clear the technical evaluation, covering motivation, goals and fit, followed by document checks.
- Focus: Offer and documentation
Compensation discussion and offer
Once validations are done, the recruiter discusses pay and benefits and sends the offer through the candidate portal.
Topics to prepare for Capgemini
The topics its loop weighs most, each with what interviewers check and what to study.
- Retrieval for RAG: chunking, hybrid search, rerankingRAG
- Embeddings and vector searchRAG
- Behavioral interviews: STAR stories for AI engineersBehavioral
- Evaluating RAG: retrieval metrics and faithfulnessRAG
- Embeddings basics: word2vec, contrastive learning, what embeddings captureML fundamentals
- The project deep-dive roundBehavioral
- Story bankBehavioral
- Interview openers and closersBehavioral
How it weights your plan
Selecting Capgemini when you build a plan multiplies each topic’s priority score:
Official prep and resources
Public candidate write-ups
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