Initially gave a take-home assessment, which was pretty simple (had to look at the API and make a network call to get the data, and show the top 3 results that satisfied a criteria). After submitting that, there was a follow-up interview where one of the engineers helps go over the codebase to ensure you have a good understanding of the code that was written. There were some errors in the code they provided, which were intentional. During the interview, you'll also be shown that the results aren't accurate (due to the bug they put in), and they ask you to debug it. Finally, you'll be asked for optimizations that could be made in your original code (if it wasn't optimal). Although they do let candidates to use AI during the assessment, they're pretty clear that they'll be questioning whether you understand the code that was generated as well, and that you aren't just relying on AI.

It was a Hatchways coding interview. Had 24 hours to complete the assignment and submit a pull request. Had to create a script that pulled data from a local backend and return the "top workers".