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English
$
USD
I will build ai agents with langchain, langgraph, crewai and rag
Mirza Umer
Level 1
About this gig
I build custom AI agents and multi-agent systems with LangChain, LangGraph, and CrewAI in Python, delivering autonomous AI that completes real business tasks, not demos.
Whether you need a single AI agent with tool calling, a RAG pipeline over your documents, or a team of specialized agents that plan, collaborate, and self-correct, I design it for production from day one.
What you get:
- Autonomous AI agents with memory, tool calling, and structured outputs.
- Multi-agent systems with supervisor and worker architectures.
- RAG pipelines with Pinecone, ChromaDB, or pgvector.
- GPT-4o, Claude, Gemini, or open-source models like Llama.
- Human-in-the-loop approval steps for sensitive actions.
- FastAPI or LangServe deployment on your server or cloud.
- Clean, documented Python source code with a README.
Recent builds include a LangChain RAG document chatbot and an omnichannel AI support system, alongside automation work for US and EU clients.
Message me before ordering with your use case, and I will map the agent architecture, confirm the scope, and recommend the right package.
Get to know Mirza Umer
Mirza Umer
Meta Ads, AI Chatbot and Automation Expert
Level 1
- FromPakistan
- Member sinceAug 2023
- Avg. response time1 hour
- Last deliveryabout 21 hours
Languages
Urdu, English, Chinese, German
Meta Ads & AI Expert | $700K+ Ad Spend Managed | Meta Blueprint Certified
I run Meta Ads, Facebook Ads & Instagram Ads for Shopify stores, e-commerce brands, and clothing/streetwear businesses focused on ROAS, conversions & scaling.
I also built:
→ AI Chatbots (Botpress, Voiceflow)
→ AI Voice Agents (VAPI, Retell)
→ n8n Workflow Automation
→ RAG Document Search Systems
Message me to discuss your project.
My Portfolio
FAQ
What is LangGraph and how is it different from regular chatbots?
LangGraph is an advanced AI framework for building stateful, cyclic multi-agent systems. Unlike regular chatbots that forget context after each message, LangGraph agents maintain memory, self-correct errors, and execute complex multi-step agentic workflows autonomously.
Can you deploy the agent on my server or cloud?
Yes. I can deploy using FastAPI or LangServe on AWS, GCP, Railway, or any server you provide. Deployment scope depends on the package selected.
Do I need to provide my own API keys?
Yes, you will need API keys for your chosen LLM (OpenAI, Anthropic, or Google). I will guide you on exactly which keys are needed and how to share them securely.
What if the agent doesn't work as expected after delivery?
All packages include revisions. I won't close the order until the agent performs as agreed in your requirements. Please message me before ordering to align on scope.
Do I need to know Python to use what you build?
No. I deliver fully documented code with a clear README so your team can run and maintain it without deep Python expertise.
Can you integrate the agent with my existing app or database?
Yes. I can connect the agent to REST APIs, PostgreSQL, MongoDB, Pinecone, or any data source you're using, depending on the package.
Do you also work with CrewAI or AutoGen?
Yes. I build with LangGraph when you need fine-grained control over state and self-correction, and CrewAI when role-based agent teams fit better. I will recommend the right framework for your use case before we start.
