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PhonePe

India's largest UPI app; ML for risk, merchandising and internal AI agents

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Interview in a few hours? A quick sprint for PhonePe

AI in interviews

low confidence

No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.

Checked 20 Oct 2026Source

Typical interview loop

How PhonePe usually runs it for applied AI and LLM engineer roles.

  1. Machine coding (take-home or live)

    Focus: Clean, extensible working code

    Build a small working backend in about 90 minutes, then defend your design; interviewers care most about modular, extensible, clean code.

  2. SQL + ML case study (data science track)

    Focus: SQL, applied ML reasoning

    A split round: about half an hour of SQL coding, then about half an hour on a machine learning case study.

  3. Problem solving and data structures

    Focus: DSA

    A live hour of algorithm problems; you're expected to state complexity and write correct code quickly.

  4. System design

    Focus: Scalable design trade-offs

    For mid-level and senior candidates, a live design discussion on architecture, trade-offs and failure handling.

  5. Hiring manager

    Focus: Project depth, motivation

    A deep dive into your project stack and design decisions, plus motivation and some behavioural questions.

How it weights your plan

Selecting PhonePe when you build a plan multiplies each topic’s priority score:

Coding+30%
System design+20%
Transformers-10%

Official prep and resources

Public candidate write-ups

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