Browse categories
Explore
Fiverr Pro
English
$
USD
I will build custom ai agents and multi agent systems with langgraph and crewai
Muzammil
Level 2
About this gig
Most AI just responds. I build AI agents that take action.
I design custom AI agents and multi-agent systems for businesses that need AI to plan, decide, and execute real workflows lead qualification, document processing, research automation, sales operations, support triage, and data pipelines.
Built with LangGraph (stateful workflows, human-in-the-loop), CrewAI (role-based multi-agent crews), OpenAI Agents SDK, LangChain, and RAG deployed via FastAPI on AWS, Azure, or GCP.
What I build:
- LangGraph agents: state management, branching logic, memory, HITL approvals
- CrewAI crews: parallel multi-agent research, operations, and sales workflows
- RAG integration: agents grounded in your docs, databases, APIs, and knowledge base
- n8n automation: agents connected to CRMs, forms, Slack, WhatsApp, or Telegram
- MCP servers: secure tool access for Claude, ChatGPT, and any LLM
- Full-stack delivery: FastAPI backend, custom UI (Next.js/React.js), Docker, cloud deployment
For startups, ops teams, and technical founders who need agents that act not just chat.
Message me before ordering so I can map your workflow and recommend the right architecture.
Get to know Muzammil
Muzammil
Expert in Deep Learning, Generative AI, Large Language Models
Level 2
- FromPakistan
- Member sinceFeb 2023
- Avg. response time1 hour
- Last delivery1 month
Languages
Urdu, English
🚀 Data Scientist | Expert AI & Full Stack Developer | 4+ Years Experience
I specialize in Generative AI, AI Agents, LangChain, LLM Fine-Tuning (GPT, LLaMA, DeepSeek), and Full Stack Development (React.js, MongoDB). From custom AI solutions to scalable web apps, I deliver cutting-edge results using TensorFlow, PyTorch, OpenAI, and Hugging Face. Let’s build AI-powered applications or fine-tuned models tailored to your needs!
📩 Contact me today for a free consultation!
My Portfolio
Other AI Development Services I Offer
FAQ
What's the difference between an AI agent and a chatbot?
A chatbot responds to messages. An AI agent plans multi-step actions, uses tools, makes decisions under uncertainty, and executes tasks autonomously - like qualifying a lead, updating a CRM, generating a report, and sending a notification, all without human input.
Which frameworks do you use and how do you choose?
LangGraph for complex, stateful, cyclical workflows with branching logic and human approvals. CrewAI for parallel multi-agent systems where specialized agents collaborate. OpenAI Agents SDK for lightweight, fast-deploying agents. I recommend the right one after understanding your use case.
Can the agent connect to my existing tools - CRM, database, Slack, or email?
Yes. I build integrations with CRMs (HubSpot, Salesforce, GoHighLevel), databases (PostgreSQL, MongoDB, Supabase), and communication tools (Slack, WhatsApp, Telegram, email) so your agent works inside your current stack.
What is a multi-agent system and do I need one?
A multi-agent system uses several specialized AI agents working in parallel or sequence — for example, a Research Agent + a Summarization Agent + an Outreach Agent. You need one when a single agent would need too many tools or when tasks can run in parallel for speed.
Can you build an MCP server to connect my AI to business tools?
Yes. I build Model Context Protocol servers that let Claude, ChatGPT, or any LLM agent securely access your APIs, databases, and internal tools without exposing credentials or requiring manual data input.
Can the agent include human-in-the-loop approval steps?
Yes. LangGraph natively supports pausing a workflow for human review, waiting for approval, and resuming - ideal for sensitive operations like customer outreach or financial transactions.
Do you deploy the agent to my server or cloud?
Yes - AWS, Azure, GCP, or your own server, containerized with Docker and production-ready for real traffic from day one.
Will I own the source code?
Yes. Full source code, clean architecture documentation, and a handover walkthrough so your team can maintain and extend the system independently.
How long does delivery take and what affects the timeline?
Simple single-agent builds: 3-5 days. Multi-agent systems: 10-14 days. Enterprise orchestration: 21 days. Complexity is driven by the number of integrations, custom tool development, and UI requirements - I'll give you an exact estimate after our scoping conversation.
How do we start?
Message me with your workflow or business problem before placing an order. I'll ask a few questions, confirm the scope, and recommend the right package and architecture, no scope-creep, no surprises.
