Infosys
IT services major with a hard-coding Specialist Programmer track
Interview in a few hours? A quick sprint for Infosys
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How Infosys usually runs it for applied AI and LLM engineer roles.
- Focus: Data structures and algorithms
Online coding assessment
A long online test (often via HackWithInfy) of about three DSA problems ranging from medium to hard.
- Focus: Live coding and CS fundamentals
Technical interview
Live coding plus questions on SQL, operating systems, OOP and your resume projects; some candidates also get ML terminology, and higher-level SP roles add design and API basics.
- Focus: Motivation and self-assessment
HR and fit discussion
A short one-to-one, often blended with light technical checks, where you rate your own resume skills and talk about goals.
Topics to prepare for Infosys
The topics its loop weighs most, each with what interviewers check and what to study.
- Python for ML interviewsCoding
- Calling LLM APIs in Python: async, streaming, retriesCoding
- Retrieval for RAG: chunking, hybrid search, rerankingRAG
- Evals and error analysisEvals
- Decoding: greedy, beam, temperature, top-k/top-pInference
- Embeddings and vector searchRAG
- LLM-as-judge: building and validating judgesEvals
- GenAI system designSystem design
How it weights your plan
Selecting Infosys when you build a plan multiplies each topic’s priority score:
Official prep and resources
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