Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto più di una settimana. Ho sostenuto un colloquio presso Fractal (Gurgaon, Haryana)
Colloquio
My overall interview experience with Fractal was very positive and I give its credit to my Hiring HR Jesvin Varghese. Jesvin gave a very clear understanding
of the complete hiring process in advance so faced no hiccups in between.
In total there were 5 rounds: one coding test round, 3 technical Interview rounds and one HR round at last. All Interviewers were very kind, friendly and Intellectuals.
I would like to really appreciate and thanks Jesvin for his timely updates, feedback and guidance regarding following Interview rounds such as Interviewer expectation, skills that will be examined and others as it was very helpful and haven't seen this type of guidance from other HR's in other organizations.
I would really recommend fractal to other people because of its good culture and people.
Domande di colloquio [1]
Domanda 1
The Interviewer will ask questions from the projects you have done and will ask you to explain them from start till end.
Ho sostenuto un colloquio presso Fractal (New York, NY)
Colloquio
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.
Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Fractal (Nuova Delhi) nel mese di set 2025
Colloquio
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.
Domande di colloquio [1]
Domanda 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.