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


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
AI Engineer, RAG Chatbots, Multi Agent Systems, LLM APIs
- FromIndia
- Member sinceJan 2023
- Avg. response time1 hour
Languages
Hindi, English, Urdu
My Portfolio
FAQ
Do you use LangChain or AutoGen?
Only if you specifically need it. I prefer writing custom orchestrators - they are faster, easier to debug, and give you full control. I will discuss the right approach for your use case before starting.
Can you connect agents to my existing database or API?
Yes. PostgreSQL, pgvector, Elasticsearch, Redis, and REST APIs are all within scope. Share your stack when you message me.
What if I am not sure what I need?
Message me with your problem, not a solution. I will help you figure out whether a multi-agent system is the right fit or if something simpler would work better.
Do I get the source code?
Yes, always. Full source code, documented and structured so your team can extend it.

