Initially there was a screening call with the HR, paired programming round with a couple of their engineers. The paired programming was more of code debugging and building a service. The interview started off a little slow I was a little intimidated to have two engineers in the call. But once I got into the Rythm things were alright.
Interview questions [1]
Question 1
How would I debug the code to make it work to match the use case they had in their code. There were multiple modules that were expected to solve as much as possible.
Plenty of questions around production and devops as well.
I applied through a staffing agency. I interviewed at Faculty.ai in June 2026
Interview
Second stage interview involves building a Fast API app that sends a request to an ML model hosted on Hugging Face Hub and returning a response. There are several parts to the question, with each part increasing in difficulty.
I applied through a recruiter. I interviewed at Faculty.ai (London, England) in Feb 2026
Interview
First step a simple request - response development exercise with the libraries of their choice. Simple and standard questions, not much depth. Discussion was suggested but clearly penalised. They suggest to ask questions but they take it as "not experienced enough".
Second step a simple software design, walk through the plan in detail. Poor time management only discussed 2 out of 5 steps, obviously i got penalised.
Interview questions [1]
Question 1
1st step:
- Develop an endpoint with FastAPI and Pydantic for the serialization.
- How would you deploy it?
2nd step:
- Design a system that ll upload and process a video.
- How would you scale it?