integrations with enterprise data sources using the Model Context Protocol (MCP) Design and implement Agent-to-Agent (A2A) systems...
systems in LangGraph — supervisor node structures, sub-agent routing, agent-to-agent (A2A) communication, and shared state...) servers or implementing the A2A protocol LLM evaluation practice — offline eval sets, LLM-as-judge, and regression testing...
, retrieval-augmented generation RAG , MCP, A2A protocols, ONNX-based embeddings, vector databases and semantic search. Knowledge...
and inference layer through feature and vector storage, evaluation harnesses, production observability, agentic framework (A2A...
, A2A automations, and/or AI testing protocols. Hands-on experience building complex agentic AI solutions or automations...
AI/LLM Engineering (Prompt Engineering, Microsoft Agent Framework, MCP, A2A, RAG, etc.) Cloud experience (Microsoft Azure...
, prompt management, guardrails, MCP servers, and A2A communications. Familiarity with enterprise platform engineering...
AI/LLM Engineering (Prompt Engineering, Microsoft Agent Framework, MCP, A2A, RAG, etc.) Cloud experience (Microsoft Azure...
. Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions...
workflows. Hands-on work integrating agents with enterprise tools through MCP, A2A, or similar protocols, including...