Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and conversational experiences.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and conversational experiences.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain
Build and extend AI-enabled guided workflows and automation capabilities
Design, develop, and optimize conversational AI and chat-based experiences
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities
Integrate AI agents and applications with enterprise systems, services, and APIs
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and conversational experiences.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Design, govern, and scale Agentic AI solutions that drive measurable productivity improvements across HR, Finance, Sales, Services, and Employee Experience functions.
Responsibilities
Define the enterprise architecture for Agentic AI platforms
Design scalable architectures for multi‑agent systems
Establish reference architectures, patterns, and guardrails for AI productivity use cases
Align AI architecture with enterprise IT, data, security, and cloud strategies
Lead AI solution design for enterprise productivity across HR, Finance, Sales, Services and Employee Experience
Requirements
Nice to have: AI productivity transformations at enterprise scale
IT Engineer,Software,EntryNewKeysight · Gurgaon, India