Primary Skill: LangChain, LangGraph ,CrewAI , AutoGen, Semantic Kernel, OpenAI Agents SDK, LlamaIndex, Haystack, Microsoft Copilot Studio
Secondary: Python (Expert Level), Java, JavaScript, TypeScript, AI Governance, Responsible AI, and Security, Git, GitHub, Microsoft 365 Ecosystem
Experience: Minimum 7 years
Roles & Responsibilities
Bachelor's or master's degree in computer science or related field.
Highly skilled and innovative "AI Agent & MCP Developer” to design, develop, and deploy next-generation
Agentic AI solutions that leverage Large Language Models (LLMs), Multi-Agent Architectures, and the Model Context Protocol (MCP). The ideal candidate will possess deep expertise in AI application development, intelligent agent orchestration, contextual reasoning, tool integration, memory management, and enterprise-scale deployment of AI-powered systems.
This role requires hands-on experience building autonomous and semi-autonomous AI agents capable of planning, reasoning, executing tasks, interacting with enterprise applications, and collaborating with other agents through standardized protocols such as MCP and Agent-to-Agent (A2A) communication frameworks.
The candidate will play a critical role in transforming enterprise business processes through AI automation, intelligent decision support systems, conversational assistants, digital coworkers, and autonomous agents.