Advanced Multi-Agent LLM Architecture
Summary
Freelancer Client is hiring: Advanced Multi-Agent LLM Architecture.
Location: Remote
I already have a tightly-defined scope that covers the full life-cycle of a sophisticated multi-agent system:
Domain-Specialized Agent Personas with strict role isolation
Hybrid communication protocols that enable agentic debate
Quantitative tool integration backed by an extensible memory layer
Multi-layered governance that enforces hard reasoning boundaries
Skills: Cloud Computing, Research and Development, Kubernetes, Large Language Model, LangChain, AI Chatbot Development, AI Model Development, AI Agents
Budget: $5000–$10000 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
I already have a tightly-defined scope that covers the full life-cycle of a sophisticated multi-agent system:
• Domain-Specialized Agent Personas with strict role isolation
• Hybrid communication protocols that enable agentic debate
• Quantitative tool integration backed by an extensible memory layer
• Multi-layered governance that enforces hard reasoning boundaries
• Dynamic orchestration topologies and strategic LLM layering
The immediate goal is to produce a fixed-price architecture document plus a working prototype. After that, I expect hourly research spikes and a milestone-based build-out. I’ll supply two or three reference links with short case studies once we execute the NDA; they outline comparable systems I have shipped in adjacent domains.
When you reply, start your message with “Panja” and show me concrete past work—screenshots, repos, live demos—of any agent frameworks, orchestration layers, or governance mechanisms you have delivered. Generic proposals will be archived unread.
I’m platform-agnostic: use LangChain, Semantic-Kernel, Ray, Kubernetes, or anything else that fits—just explain why. Cloud choice is equally open.
If you are comfortable signing an NDA today and can demonstrate prior success with complex agent architectures, let’s schedule a quick technical call and move straight into the design phase.
Location & Details
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