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Skill-Python + AI Engineer Description: AI Engineers Having Strong Python exp, preferred to have exp in[Lang Chain, Lang Graph]. Should have knowledge on any one or two of these: Prompt Engineering, GPT, LLM Models, RAG, Vector, MCP Conducting unit testing, troubleshooting, and debugging to ensure optimal performance and security. Working with cross-functional teams, including product managers, designers, and QA engineers, to deliver software on time. Creating technical documentation for code, architecture, and user guides. We need candidates with strong expertise in the latest AI technologies, including MCP, A2A, Guardrails, multi-agent frameworks, RAG, and LLMs.
From live job posts on CoreHRx, updated 5 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post states Up to ₹28 LPA.
It is a full time job.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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