Production AI Agents & Autonomous Workflow Systems by Ilyas SalimovProduction AI Agents & Autonomous Workflow Systems by Ilyas Salimov
Production AI Agents & Autonomous Workflow SystemsIlyas Salimov
Cover image for Production AI Agents & Autonomous Workflow Systems
Move from fragile prompt prototypes to deterministic, production-grade AI pipelines. I architect and deploy secure agentic workflows, multi-agent queues, and document intelligence engines with enterprise-grade data boundaries and zero math hallucinations.
What’s Included:
Agent Orchestration & Queues: Multi-worker asynchronous pipelines (BullMQ / Redis) with isolated state machines and automatic retry mechanisms.
Deterministic Execution & Tooling: Sandboxed Python computation layers ensuring 100% mathematical and structured data accuracy.
MCP & API Connectors: Custom Model Context Protocol (MCP) server endpoints connecting Claude/OpenAI with your databases, CRM, Drive, and internal tools.
Auditable Tracing & Evals: End-to-end observability (Langfuse / OpenTelemetry) and coordinate-level citation trails for compliance.
Deployment: Containerized cloud deployment (Docker, GCP Cloud Run) with centralized secret management.
FAQs

Contact for pricing
Duration1 week
Tags
AI Agents
Claude API
FastAPI
LangChain
Python
Business Workflow Automation
Model Context Protocol (MCP)
Service provided by
Ilyas Salimov Almaty, Kazakhstan
5.00
Rating
3
Followers
Production AI Agents & Autonomous Workflow SystemsIlyas Salimov
Contact for pricing
Duration1 week
Tags
AI Agents
Claude API
FastAPI
LangChain
Python
Business Workflow Automation
Model Context Protocol (MCP)
Cover image for Production AI Agents & Autonomous Workflow Systems
Move from fragile prompt prototypes to deterministic, production-grade AI pipelines. I architect and deploy secure agentic workflows, multi-agent queues, and document intelligence engines with enterprise-grade data boundaries and zero math hallucinations.
What’s Included:
Agent Orchestration & Queues: Multi-worker asynchronous pipelines (BullMQ / Redis) with isolated state machines and automatic retry mechanisms.
Deterministic Execution & Tooling: Sandboxed Python computation layers ensuring 100% mathematical and structured data accuracy.
MCP & API Connectors: Custom Model Context Protocol (MCP) server endpoints connecting Claude/OpenAI with your databases, CRM, Drive, and internal tools.
Auditable Tracing & Evals: End-to-end observability (Langfuse / OpenTelemetry) and coordinate-level citation trails for compliance.
Deployment: Containerized cloud deployment (Docker, GCP Cloud Run) with centralized secret management.
FAQs

Contact for pricing