ApplySarthi

AI Engineer

Zensar

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This role on the market

8,474 open AI roles across 1,219 companies are on ApplySarthi right now, most of them in Bengaluru (499), Hyderabad (156), Pune (82).

What AI roles keep asking for: Python (43%), LLMs (39%), Machine learning (25%), AWS (24%), Generative AI (24%), Observability (19%), RAG (16%), Azure (16%) — counted across their open postings here.

AI Engineer jobs in India · Remote AI Engineer jobs · Generative AI jobs · LLMs jobs · MLOps jobs · Machine learning jobs

Zensar has 266 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for AI roles keep coming back to Python, LLMs, Machine learning, AWS. Practise those questions before you sit with Zensar.

Questions you are likely to be asked

  1. Why do you want to join Zensar?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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Key Responsibilities AI & Machine Learning Development Design, develop, and deploy AI/ML models for business use cases. Build and optimize machine learning pipelines from data preparation to model deployment. Develop predictive, classification, recommendation, and NLP solutions. Fine-tune and evaluate foundation models and LLMs. Generative AI Solutions Design and implement Generative AI applications using LLMs. Develop Retrieval-Augmented Generation (RAG) solutions. Create prompt engineering frameworks and reusable AI workflows. Integrate AI copilots, chatbots, and virtual assistants into enterprise platforms. Implement AI governance, monitoring, and responsible AI practices. Data Engineering & Integration Collaborate with Data Engineers and Data Scientists to prepare training datasets. Develop APIs and microservices for AI model consumption. Integrate AI services with enterprise systems and cloud platforms. Model Deployment & Monitoring Deploy AI solutions using MLOps best practices. Monitor model performance, accuracy, drift, and reliability. Ensure scalability, security, and compliance requirements are met.

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Listed on oraclehcm · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.