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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop and customize AI agents capable of performing multi-step business workflows using LangGraph, DeepAgents, and similar frameworks.
Integrate AI agents with external systems via Model Context Protocol (MCP) servers and tools, ensuring tool execution, error handling, and context management.
Implement observability and evaluation frameworks to monitor agent execution, measure reliability, and optimize AI application performance and costs.
Minimum Requirements
Currently pursuing or recently completed B.E./B.Tech/M.Tech/MCA in Computer Science, AI, Data Science, IT or related discipline.
Strong programming skills in Python including OOP, asynchronous programming, REST APIs, and JSON.
Hands-on experience with building AI agents using LangGraph, DeepAgents, or comparable frameworks; understanding of agent orchestration, tool integration, and MCP.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Has practical experience building advanced AI agents beyond prompt-based chatbots, including state management and multi-step workflows.
Understands AI reliability principles including monitoring, observability, and evaluation of LLM-driven agents.
Comfortable with debugging complex agent executions and integrating AI solutions in real-world business contexts.