in MCP, A2A, RestAPIs, ESBs & Orchestrators. Physical AI Digital Twins, Wireless Communications, Electronic design...
components - agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval... retrieval systems;Graph RAG a plus Experience with agent protocols (A2A, MCP) or multi-agent orchestration Experience...
secure execution and isolation (micro-VMs such as Firecracker/Kata), agent-to-agent (A2A) communication, Model Context... or implementing agent protocols (A2A, MCP) and multi-agent orchestration Experience with agent or distributed memory systems - memory...
such as MCP or A2A. Experience with data platforms (Databricks, etc.) and organizing, cataloging and chunking of unstructured...
, relevant protocols (MCP/A2A) - sufficient to be technically credible with CTO/CDO buyers, even if not hands-on coding. Proven...
, TensorRT-LLM) and open tools (vLLM, LangChain, vector DBs, MCP, A2A). Lead the technical strategy and execution: run the... engine like vLLM or TensorRT-LLM, vector DBs, MCP/A2A). Direct experience with every tool is not required. Solid grasp...
, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A, and emerging agent frameworks). Drive evaluations of NVIDIA.... LangChain, inference engines such as vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A). Direct experience with every tool...
Familiarity with MCP, A2A and multi-agent orchestration concepts, including multi-vendor agent interoperability (e.g., Salesforce...
. Exposure to agentic AI concepts (MCP, A2A, AI agents) and emerging GenAI orchestration patterns. Proven ability to lead...
, and productivity workflows Implement a model registry, prompt library, and A2A (agent-to-agent) workflow framework as reusable...