AI applications as an Engineer Strong understanding of Agentic AI, Multi-Agent Systems, AI Workflows, Agent Orchestration, MCP (Model...
, implementation, testing, documentation, incident response, and release analysis. Build reusable AI instructions, agent skills, MCP... building AI agents, MCP servers, reusable agent skills, or retrieval-augmented development systems. What Success Looks...
/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK Tool Integration: Gemini Tools, Custom MCP tools Machine...
with agentic frameworks (LangGraph, LangChain, CrewAI) and MCP-based tool integrations into client systems. Work experience...
Context Protocol (MCP) servers to connect AI agents with external tools, APIs, and data sources. Develop, test, and optimize...
leveraging Model Context Protocol (MCP) to securely connect AI agents and models with enterprise tools, systems, APIs, and data.... Experience with Model Context Protocol (MCP) and integrating AI applications/agents with enterprise systems, APIs, tools...
AI landscape, including emerging frameworks, protocols such as MCP, and industry trends, incorporating relevant innovations...
DevOps Enterprise Integration Patterns Large Language Models (LLMs) Prompt Engineering Nice To Have Gemini Enterprise MCP...
, MCP, AI-assisted testing, and others). Proficiency in using developer tools, reading error logs, and tracing the source...
, Custom MCP tools Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML. Generative AI: Hands...