AI Engineer
Zensar
Zensar is also hiring for this role in India.
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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).
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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 Pune · AI Engineer jobs in India · Remote AI Engineer jobs · CI/CD jobs · Jenkins jobs · LLMs jobs · Machine learning jobs
Zensar has 266 open roles listed here.
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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
- Why do you want to join Zensar?
- What is your experience with CI/CD? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the AI Engineer at Zensar interview free →Zensar Technologies Limited is seeking a forward‑thinking AI Engineer to join our innovative team. You will work with our enterprise AI stack to build cutting‑edge applications, proof‑of‑concepts, and intelligent multi‑agent systems that drive business value. The role involves end‑to‑end development, from model integration and prompt engineering to CI/CD deployment and observability, while collaborating across functions to ensure alignment with strategic objectives. Hands‑on experience integrating LLMs (e.g., GPT, Gemini) and prompt engineering. Proficiency with LangGraph and LangSmith for building AI workflows and agents. Experience with agent builder platforms, multi‑agent systems, and orchestration. Familiarity with Model Context Protocol (MCP), MCP Tools, and A2A communication. Strong programming skills in Python and familiarity with AI/ML libraries (e.g., PyTorch, TensorFlow). Knowledge of vector databases, embeddings, and RAG architectures. Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and monitoring/observability solutions. Bachelor’s or higher degree in Computer Science, AI, Machine Learning, or related field. Excellent problem‑solving abilities and a collaborative mindset. Ability to work in an agile environment and manage multiple priorities.
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Listed on oraclehcm · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.