Location: India
Job Type: Full Time/Lateral
Status: Active
Posted: 2026-04-13 06:09:54
Hands on development using agentic AI frameworks such as LangGraph, LangChain, and other orchestration tools to build scalable agent based systems.
Design and implement tool based workflows and integrations within the agentic AI ecosystem to support modular and reusable components.
Develop and integrate with MCP clients to support external orchestration and control flows.
Build and maintain conversational AI bots with contextual understanding, memory, and dynamic tool invocation.
Demonstrate expert level understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit learn) and how they integrate into agentic systems for inference, training, or feedback loops.
Deep understanding of how LLMs are leveraged within agentic AI, including state management, handoffs between agents/tools, and interaction patterns in multi agent workflows.
Apply LLM Ops practices, including prompt engineering, versioning, performance monitoring, and observability in production environments.
Define and implement testing methodologies for agentic flows, including unit testing of tools, scenario simulations, and regression testing of agent behavior.
Stay up to date with emerging trends in agent based architectures, LLM orchestration, and foundation model capabilities.
Langchain