The full process comprised of 4 rounds - coding test, technical interview, techno functional and HR. Interviewers were very professional and supportive. During the interview it felt more like a discussion than a Q&A which is extremely rare and such a good way to interview people.
The only anxious moment in the process was the wait between the technical and functional interview. It was almost a 1 month gap but I was patient. After that the process went extremely fast and the team interacting and coordinating the process was very efficient as well.
Interview questions [1]
Question 1
Technical depth in deep learning and machine learning. Thorough understanding of my relevant work experience in machine learning and data science.
Client round was more tough. Screening also was around Reinforcement learning. Which I happened to pass. But cannot pass the client round second time. The interview process was around Artificial Intelligence and RAG.
I applied through an employee referral. The process took 1 week. I interviewed at Fractal (New Delhi) in Sept 2025
Interview
The whole process took almost a week, including 2 Technical interviews, 1 HR round and offer release. Many thanks to Jesvin for making all this possible in such a short period of time.
Coming to the interview
1st round started with basic Python questions and data manipulation, followed by questions on previous role, projects, agentic frameworks, RAG, and retrievers.
2nd round was more in-depth, with a focus on details about Agent implementations, MCPs, Evaluation and improvement techniques.
3rd round (HR) was much simpler, with questions related to previous work experience.
Overall, the process was quick, and every interviewer was supportive and gave feedback properly.
Interview questions [1]
Question 1
Difference between RAG and Agentic RAG
How to evaluate and improve the performance of a deployed model/agent
The interview process typically begins with resume screening, followed by an initial HR call to discuss background and expectations. This is succeeded by technical assessments or assignments to evaluate role-specific skills. Shortlisted candidates then proceed to one or more rounds of technical or panel interviews, where problem-solving, communication, and cultural fit are assessed. The process concludes with a final discussion, reference checks if required, and offer rollout to the selected candidate.
