You will get multi-agent AI workflow using CrewAI or LangGraph
Project details
I will design and build a production-ready multi-agent AI system tailored to your business needs using CrewAI or LangGraph.
I have built real multi-agent systems including:
A 4-agent CrewAI pipeline: Search → Web Scraping → Data Extraction → Report Generation, with structured JSON passing between each agent using Pydantic models
A LangGraph workflow with state management, conditional routing, and clean agent handoffs
What you will get:
Fully working multi-agent workflow (CrewAI or LangGraph)
Agents that pass structured context between tasks with no data loss
Clean, documented Python code you can run and modify
Example run showing the system working end to end
Perfect for:
SEO content automation
Research and report generation
Data collection and processing pipelines
Any workflow that needs multiple AI agents working together
I have built real multi-agent systems including:
A 4-agent CrewAI pipeline: Search → Web Scraping → Data Extraction → Report Generation, with structured JSON passing between each agent using Pydantic models
A LangGraph workflow with state management, conditional routing, and clean agent handoffs
What you will get:
Fully working multi-agent workflow (CrewAI or LangGraph)
Agents that pass structured context between tasks with no data loss
Clean, documented Python code you can run and modify
Example run showing the system working end to end
Perfect for:
SEO content automation
Research and report generation
Data collection and processing pipelines
Any workflow that needs multiple AI agents working together
AI Algorithms
Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated CodeAI Development Language
PythonAI Models
ChatGPT, GPT-3, LLaMA, OpenAI CodexWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 2 days
- Number of Revisions 1
- Model Documentation
- Model Testing & Optimization
- Prompt Engineering
- Source Code
3 reviews
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LP
Liza P.
Apr 3, 2026
Audio Replay Data Collection Participants Needed (One-Time Task) - O-0250042
Great work!
JC
Jeremy C.
Dec 22, 2025
AI Integration Engineer for ChatGPT with Python knowledge (No Agencies) (Intermediate / Intern)
Yassmen was generally polite to work with and worked hard to solve the assigned tasks. This was a junior role so we expected there would be learning involved. Language (english) was a challenge however this role was a recommendation from another team member so we expected this.
Pros
- Friendly
- Worked hard to get a solution
- Followed task instructions
Cons
- English Skills - Unable to have conversations in English resulting in only text. Relied heavily on teammate who spoke the same language.
- Communication - Lacking in clear communication regarding current work / deadlines. Constantly required us to chase for updates on project items and often to chase the teammate to get an answer due to lack of answer.
- Handover was incomplete
- Flexibility - on a few occasions was upset because the priorities changed due to shifting business priorities. Unfortunately this is the nature of business.
Pros
- Friendly
- Worked hard to get a solution
- Followed task instructions
Cons
- English Skills - Unable to have conversations in English resulting in only text. Relied heavily on teammate who spoke the same language.
- Communication - Lacking in clear communication regarding current work / deadlines. Constantly required us to chase for updates on project items and often to chase the teammate to get an answer due to lack of answer.
- Handover was incomplete
- Flexibility - on a few occasions was upset because the priorities changed due to shifting business priorities. Unfortunately this is the nature of business.
MH
Mohamed H.
Jun 11, 2025
Real time speech to speech pipeline MVP
About Yassmen
AI Engineer | LLM & Agentic Workflows Specialist
55%
Job Success
Cairo, Egypt - 1:33 am local time
With 3 years of experience, I've built systems that go beyond the demo straight to real users, real load, and real edge cases. My clients come to me when they need agent workflows that route and recover intelligently, knowledge systems that retrieve the right answer fast, and conversation flows that hold context across complex multi-turn interactions.
I don't just integrate an API and call it a system. I think about concurrency, state persistence, error handling, and what happens when things go wrong at 2am because that's what production actually looks like.
My expertise includes:
1. Multi-agent orchestration: LangChain, LangGraph, OpenAI Assistants, custom routing logic
2. RAG systems: hybrid search, pgvector, document ingestion and embedding pipelines
3. Conversational AI: GPT-4, Azure OpenAI, Claude, multi-turn context management
4. Speech AI: real-time speech-to-speech pipelines, speech emotion recognition, audio processing
5. Computer Vision: image processing pipelines, deep learning models, OpenCV
6. OCR & Document AI: text extraction, document parsing, intelligent data capture
7. Backend systems: Python, FastAPI, PostgreSQL, async workflows, Docker
8. Platform integrations: WhatsApp Business API, web chat, messaging platforms
9 Reliability: Langfuse, logging, fallback handling, human-in-the-loop workflows
If you need it built properly, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Yassmen can start the project.
Delivery time starts when Yassmen receives requirements from you.
Yassmen works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Review
Review your requirements and confirm the workflow scope and agent structure
Build & Test Agents
Build and test each agent individually (search, scraping, processing, output)