It was a face-to-face interview with two rounds (L1 and L2). They asked questions on RAG, hallucination management, prompt engineering, evaluation metrics, unstructured data , opencv, pandas, Langgraph, Langchain, LLMs.
Applied via LinkedIn, completed two interview rounds covering basic Pandas, SQL, and Python questions. Discussed projects and recent technologies, with focus on practical knowledge and problem-solving skills it is overall resume based
I applied through a recruiter. I interviewed at Capgemini (Pune) in Jan 2026
Interview
Smooth interview process with two technical rounds (L1 and L2) followed by HR discussion. The experience was positive, well-organized, and professional. Interviewers were supportive, making the overall process comfortable and engaging.
Interview questions [1]
Question 1
Current projects
RAG architecture
Hallucinations handling
Bagging vs Boosting
Overfitting, underfitting, bias-variance
Handling imbalanced datasets
Evaluation related