I will build a multi agent ai system for business workflow automation

M
moaz_webdev
M
moaz_webdev
Abu

About this gig

Most AI freelancers give you a single chatbot. I build systems where multiple AI agents work together each with a defined role, passing structured data to the next, with validation and fallback logic built in.


I have shipped production multi-agent systems including:

- A multi-role AI ticketing assistant using RAG, pgvector, cosine similarity, and AWS Bedrock with verifiable citations based on user permissions

- SEO-Agentica, a 4-agent autonomous pipeline (Auditor, Semantic, Copywriter, Supervisor) running on local LLMs with constrained decoding and real-time SSE streaming

- Validex, an API contract validator using RAG pipelines and isolated Docker containers for safe test execution


What I can build for you:

- Multi-agent workflows for document processing, data extraction, or decision automation

- RAG-powered agents that retrieve from your own data sources

- Supervisor/validator agents that check and correct other agent outputs

- Agents connected to tools, APIs, or databases

- Real-time streaming pipelines with structured outputs


I write the orchestration logic myself using FastAPI and Pydantic v2. No black-box frameworks.

Get to know Abu

Abu

AI Engineer, RAG Chatbots, Multi Agent Systems, LLM APIs

  • FromIndia
  • Member sinceJan 2023
  • Avg. response time1 hour
  • Languages

    Hindi, English, Urdu
I build AI systems that work in production, not just demos. Python backend + AI engineer with experience shipping RAG pipelines, multi-agent systems, and LLM APIs for real workloads. Built a multi-role AI ticketing assistant using pgvector + AWS Bedrock, led a 26M+ record Elasticsearch migration with zero downtime, and shipped Validgen, an AI code security scanner with 14 active users in month one. I write the orchestration logic myself. No LangChain wrappers.

My Portfolio