Synthesized from 33 candidate submissions for ALL.
Intuit's interview process emphasizes practical application and the integration of modern AI tools into professional workflows. Candidates across various levels should expect a strong focus on behavioral assessments alongside technical discussions regarding AI-generated content and problem-solving methodologies.
The candidate progressed through multiple interview rounds but received negative feedback primarily due to improper error code usage and exception handling in API implementations. The feedback emphasized the importance of attention to detail and robust implementation practices.
Online Assessment (OA) with 2 DSA questions (medium difficulty: linked lists and arrays) and 5 MCQs on core technical concepts. Scored 94% and advanced to phone screen rounds.
Two rounds focused on solving DSA problems. First round involved a graph-based problem similar to 'rotten tomatoes'. Second round involved a medium-level DSA problem similar to 'finding the maximum rectangle in a histogram'. Both rounds required approach discussion, implementation, and successful code execution.
Four rounds covering project discussion, API implementation, DSA, engineering fundamentals, and hiring manager fit. Tasks included implementing a POST API for player details, integrating an LLM API, solving a DSA problem similar to 'next permutations of an array', implementing pagination on a GET API, and discussing day-to-day responsibilities and cultural fit.
The candidate progressed through multiple interview rounds at Intuit for an SDE-2 role but received negative feedback primarily due to improper error codes and exception handling in API implementations. The experience highlighted areas for improvement in error handling and API design.
Online Assessment (OA) with 2 DSA questions (medium difficulty: linked lists and arrays) and 5 MCQs on core technical concepts. Candidate scored 94% and advanced to phone screen rounds.
Two phone screen rounds, each involving solving medium-level DSA problems. First round focused on a graph-based problem similar to 'rotten tomatoes.' Second round involved a problem similar to 'finding the maximum rectangle in a histogram.' Both rounds required approach discussion, implementation, and successful code execution.
Four onsite interview rounds. First round involved project discussion, implementing a POST API for saving player details (including payload structure, error handling, and logging), and integrating an LLM API. Second round focused on solving a DSA problem similar to 'next permutations of an array.' Third round covered engineering fundamentals and implementing pagination on a GET API. Fourth round was a hiring manager round focusing on day-to-day responsibilities, team collaboration, and cultural fit.
Interview Digest