You will get End-to-End AI Agent System | LangGraph + RAG + Tools + Backend + Deployment
Top Rated
Top Rated
Project details
Most AI projects fail not because of bad ideas but because they never make it to production. Poorly architected agents, disconnected APIs, no backend, no deployment plan.
I build the full system, end to end.
From LangGraph multi-agent pipelines and RAG knowledge layers to FastAPI backends and cloud deployment on AWS, Azure, or GCP — every system I deliver is production-ready, documented, and built to scale.
What you get with this package:
• A fully functional AI agent or multi-agent system, not a prototype
• RAG pipeline over your documents, database, or knowledge base
• Clean FastAPI backend with auth, async processing, and API integrations
• Deployed to your cloud environment with full handoff documentation
• Voice support available (Whisper + ElevenLabs) for Advanced tier
• 2 weeks post-launch support included in all tiers
I've built 40+ production AI systems for SaaS products, ops teams, and founders.
Top Rated Plus · 100% Job Success · 5-star average.
If you need an AI system that actually works in the real world, not just in a demo — this is the right package.
I build the full system, end to end.
From LangGraph multi-agent pipelines and RAG knowledge layers to FastAPI backends and cloud deployment on AWS, Azure, or GCP — every system I deliver is production-ready, documented, and built to scale.
What you get with this package:
• A fully functional AI agent or multi-agent system, not a prototype
• RAG pipeline over your documents, database, or knowledge base
• Clean FastAPI backend with auth, async processing, and API integrations
• Deployed to your cloud environment with full handoff documentation
• Voice support available (Whisper + ElevenLabs) for Advanced tier
• 2 weeks post-launch support included in all tiers
I've built 40+ production AI systems for SaaS products, ops teams, and founders.
Top Rated Plus · 100% Job Success · 5-star average.
If you need an AI system that actually works in the real world, not just in a demo — this is the right package.
AI Algorithms
Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, WhisperWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,500
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
7 reviews
(7)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
AS
Alexander S.
May 11, 2026
Automated AI Agent Process for Content Creation, Video & Social Media Publishing
Muhammad Saud Saeed did an excellent job on this project. He successfully completed all milestones on time and delivered high-quality work. The automation system for article generation, video creation, and social media publishing works very well. Communication was always clear, professional, and friendly. He was very helpful during setup, testing, and final handover. I highly recommend him for automation and AI workflow projects.
WB
Wail B.
Feb 17, 2026
LLM for intent detection
truly recommand Muhammad
SW
Seen W.
Jan 16, 2026
30 minute consultation
WB
Wail B.
Dec 18, 2025
Vertex AI / Gemini Document Processing
good quality, nice guy to work to work with
BH
Beatriz H.
Dec 5, 2025
Automation Developer for AI Agent System
Muhammad is polite and knowledgeable.
About Muhammad Saud
AI Engineer | AI Agents, RAG, LangGraph, Claude, MCP, LLMs, Automation
100%
Job Success
Lahore, Pakistan - 1:10 pm local time
🔑 What that means for you:
Autonomous AI agents that replace repetitive human tasks.
RAG chatbots that answer questions over your actual documents, databases, and internal tools and not hallucinated guesses
LLM pipelines (GPT-4o, Claude, Gemini) integrated cleanly into your existing backend, and no rip-and-replace
n8n / Make automation workflows that connect your CRM, Slack, email, and APIs into one intelligent system
Production-grade backends (FastAPI, Django) on AWS / Azure / GCP that scale when you grow
Top Rated Plus · 100% Job Success · 5-star average
💡 WHAT I BUILD FOR YOU
▸ AI Agents & Agentic Workflows
Multi-step LangGraph agents that plan, reason, and execute across tools and APIs. Built for SaaS products, internal ops, and customer-facing automation. Not toy demos — production pipelines with error handling, retries, and logging.
▸ RAG-Based Chatbots & Knowledge Assistants
Your documents, your database, your knowledge — made conversational. I build RAG systems using Pinecone, Weaviate, or pgvector + OpenAI/Gemini that return accurate, cited answers over thousands of files.
▸ LLM Integrations & Prompt Engineering
GPT-4o, Claude 3.5, Gemini — function calling, structured outputs, tool use, reasoning chains. I handle the full stack from prompt design to API integration to output validation.
▸ Workflow Automation (n8n, Make, Zapier)
Trigger-based and agentic workflows connecting your CRMs, databases, communication tools, and APIs. Cut operational overhead without replacing your team.
▸ Backend for AI Products
Async FastAPI / Django services, background task queues, cloud storage, auth systems — designed to support AI-heavy workloads at scale on AWS, Azure, or GCP.
▸ Voice & Generative AI (Advanced)
Real-time voice AI pipelines, voice cloning APIs, talking avatar systems, LLM-powered report generation — for teams building the next generation of AI-native products.
🔧 MY TECH STACK
AI/LLM: OpenAI · Claude · Gemini · LangChain · LangGraph · llamaindex · CrewAI
RAG: Pinecone · Weaviate · pgvector · FAISS · ChromaDB
Automation: n8n · Make · Zapier · Webhooks
Backend: FastAPI · Django · Flask · Celery · Redis
Cloud: AWS · Azure · GCP · Docker · GitHub Actions
Databases: PostgreSQL · MongoDB · MySQL · Supabase
📋 HOW WE WORK TOGETHER
Discovery Call (30 min) — I understand your workflow, pain points, and current stack
Scoped Proposal — You get a clear breakdown of deliverables, timeline, and cost
Build & Iterate — Weekly check-ins, live demos, clean commits. You always know the status
Deploy & Hand Off — Production deployment + documentation + 2 weeks of post-launch support
I don't disappear after delivery. I build systems you can maintain, extend, and trust.
Ready to replace manual work with intelligent AI?
📩 Message me now — I respond within 4 hours and offer a free 15-minute scope call for serious projects.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Saud can start the project.
Delivery time starts when Muhammad Saud receives requirements from you.
Muhammad Saud works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture
I review your requirements, ask clarifying questions, and design the full system architecture — agent structure, tools, APIs, data flow, and deployment plan — before writing a single line of code.
Agent & RAG Pipeline Build
I build the LangGraph multi-agent pipeline with tool calling, memory, and reasoning logic. If RAG is needed, I set up the vector database, embedding pipeline, and retrieval layer over your documents or data.