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AI Engineering4 min readJul 1, 2026

Joining Revcloud: Building Enterprise AI Products & Multi-Agent Workflows

Starting a new chapter as AI Engineer at Revcloud, building at the intersection of LLMs, agentic workflows, and cloud infrastructure.

Published By
Sameer Bagul

Sameer Bagul

Software Engineer

Topics Covered
#AIENGINEER#REVCLOUD#LLMS#RAG#AGENTICAI#FASTAPI

Starting a new chapter as AI Engineer at Revcloud, building at the intersection of LLMs, agentic workflows, and cloud infrastructure.

The Next Frontier: Enterprise AI Engineering

I'm excited to share that I've joined Revcloud as an AI Engineer!

Building enterprise-grade AI products requires going far beyond simple API calls. At Revcloud, I work on multi-agent reasoning systems, RAG architecture optimization, and scalable backend infrastructure.


Core Engineering Focus Areas

  • Agentic Workflows: Multi-step LLM reasoning with tool calling and orchestration.
  • Enterprise Knowledge Retrieval: High-precision RAG pipelines using vector databases.
  • Scalable Microservices: FastAPI & Node.js services deployed on modern cloud infrastructure.