₹11L – ₹24L a year estimatetypical for IT Jobs in India, 940 posts
Posted 9 days ago
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Role at a glance
You will
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph and LangChain.
Build and extend AI-enabled guided workflows within the platform.
Contribute to the development of conversational AI and chat-based experiences.
Must-have skills
Python
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Job description
Job Description
We are looking for a highly skilled, hands-on Senior AI Engineer with Python, LangGraph & LangChain to join our client's enterprise AI initiative. You will work closely with the existing engineering team to enhance a centralized AI orchestration platform that supports intelligent workflows, AI-powered chat and proactive assistance across multiple business use cases.
This role suits an engineer with strong practical experience in Python, LangGraph and LangChain, and a solid understanding of agentic AI architectures, integration patterns and AI observability. You will contribute directly to design, development, integration and delivery to accelerate the platform roadmap.
Responsibilities:
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph and LangChain.
Build and extend AI-enabled guided workflows within the platform.
Contribute to the development of conversational AI and chat-based experiences.
Implement agent planning, orchestration, tool invocation and response-synthesis capabilities.
Integrate AI agents with enterprise backend systems and services.
Support integration patterns using the Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
Work with AI observability and telemetry capabilities, including Arize.
Collaborate closely with existing engineers and subject-matter experts to accelerate core platform development and business use case delivery.
Troubleshoot technical issues, improve solution reliability and support continuous enhancement of AI capabilities.
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.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?
