Genpact
Global services firm selling agentic AI and analytics to large enterprises
Interview in a few hours? A quick sprint for Genpact
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How Genpact usually runs it for applied AI and LLM engineer roles.
- Focus: Coding basics, CS fundamentals, GenAI
Online assessment
A timed online test mixing programming and data-structure basics with CS fundamentals and some GenAI questions.
- Focus: Communication, structured thinking
Group discussion
Candidates debate a set topic in groups of around ten after a short prep window, and many are cut here.
- Focus: Projects, Python, SQL, ML basics
Technical interviews
One or two interviews built around your resume, walking through your ML or data projects and checking Python and SQL.
- Focus: Fit and motivation
HR round
A closing conversation on fit, expectations and logistics before the offer.
Topics to prepare for Genpact
The topics its loop weighs most, each with what interviewers check and what to study.
- Behavioral interviews: STAR stories for AI engineersBehavioral
- The project deep-dive roundBehavioral
- Story bankBehavioral
- Interview openers and closersBehavioral
- Embeddings basics: word2vec, contrastive learning, what embeddings captureML fundamentals
- Self-attention from scratchTransformers
- Retrieval for RAG: chunking, hybrid search, rerankingRAG
- Evals and error analysisEvals
How it weights your plan
Selecting Genpact when you build a plan multiplies each topic’s priority score:
Official prep and resources
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