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I will build multiagent workflows using agent to agent, mcp, langchain and llamaindex
Building intelligent AI systems with NLP and Vision
I am a Senior AI ML Engineer. I am new here but bring years of enterprise experience designing deep learning architectures. I build multi agent systems with agent2agent and MCP workflows. For NLP and ...
About this Gig
Build production-ready multi-agent workflows with Agent2Agent, MCP, LangChain, and LlamaIndex so your AI can plan, retrieve, call tools, and hand off tasks reliably.
I design agent teams (planner / executor / reviewer), connect them to your real systems via tools + MCP, and add LlamaIndex RAG where neededthen harden everything with guardrails, retries, logging, and eval-ready structure.
What youll get (depending on package):
- Multi-agent architecture (roles, handoffs, routing, failure handling)
- MCP tool layer (APIs, Suppabse,DBs, internal services, SaaS integrations)
- LangChain orchestration (graphs/chains, tool calling, memory strategy)
- LlamaIndex RAG (ingestion, chunking, retrieval, citations if needed)
- Observability-friendly logs + clean, documented codebase
- Setup help: Docker/env, secrets pattern, and runbook
Perfect for internal copilots, research agents, support automation, and ops workflows.
Message me before ordering with your use case and constraints so I can recommend the right architecture + package.
