I will build custom production-grade Multi-Agent Systems and LangGraph Workflows for enterprise automation.
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About this Gig
Stop wasting money on fragile chatbot wrappers that break under real-world edge cases. I build production-grade, stateful autonomous multi-agent networks designed to execute complex, multi-step enterprise workflows reliably. Whether you are looking to automate compliance checks, streamline administrative operations, or build complex decision-synthesis pipelines, I provide fully deployed backend architectures—not just isolated code fragments in notebooks. What this service includes: - Custom Agentic Architectures: Multi-agent networks utilizing LangGraph with state-management and conditional routing. - Advanced Tool Integration: Connecting models securely to your production systems, internal APIs, and log search via open standards like Model Context Protocol (MCP). - Built-in Safety Guardrails: Human-in-the-loop checkpoints for high-risk automation phases, ensuring complete corporate compliance. - Production Optimization: Multi-LLM gateway routing via LiteLLM to balance execution cost, rate limits, and response latency. - Complete Observability: Out-of-the-box telemetry tracing using Langfuse or LangSmith so you can track agent runs, latency, and operational tokens. All systems are delivered fully containerized (Docker) with clean FastAPI backend wrappers ready to slide directly into your production tech stack.
Requirements
To hit the ground running, please provide: 1. A detailed breakdown or visual flowchart of the current manual workflow you want the agents to execute. 2. The target data sources, APIs, or databases the system will need to read from or write to (e.g., custom REST endpoints, internal logs, CRM systems). 3. Your preferred deployment environment (AWS, GCP, or a local server setup).
