You will get Full Stack AI Web App — React, FastAPI & LLM Deployed on AWS
Rising Talent
Project details
Most AI projects end as a demo that never ships. You get a prototype, not a product. I build the full thing — React frontend, FastAPI backend, AI layer and AWS deployment — so you have a real working app your users can actually use from day one.
I have built production-grade AI web apps professionally for enterprise clients at a US-based software house — apps handling thousands of daily users across SaaS, fintech and e-commerce verticals.
What you get that most freelancers cannot deliver:
A complete product — not just a backend script or a UI mockup but a fully connected deployed application. The AI is built into the product properly, not bolted on as an afterthought. Clean maintainable code with proper architecture so your team can build on top of it after delivery. Full AWS deployment with auth, database and environment setup done correctly from day one.
If you have an AI product idea that needs to actually ship, this is the engagement for you.
I have built production-grade AI web apps professionally for enterprise clients at a US-based software house — apps handling thousands of daily users across SaaS, fintech and e-commerce verticals.
What you get that most freelancers cannot deliver:
A complete product — not just a backend script or a UI mockup but a fully connected deployed application. The AI is built into the product properly, not bolted on as an afterthought. Clean maintainable code with proper architecture so your team can build on top of it after delivery. Full AWS deployment with auth, database and environment setup done correctly from day one.
If you have an AI product idea that needs to actually ship, this is the engagement for you.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, MLflow, PyTorch, TensorFlowAI Development Language
PythonWhat's included $2,500
These options are included with the project scope.
$2,500
- Delivery Time 30 days
- Number of Revisions 2
- AI Model Integration
- Detailed Code Comments
- Knowledge Graph
- Model Documentation
- Ontology
- Source Code
- Taxonomy
Frequently asked questions
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AA
Ayman A.
Jun 24, 2026
Senior AI Engineer Needed for Production-Grade RAG, Voice AI & Multi-Agent SaaS Platform
Ali was professional, reliable, and delivered high-quality work throughout the project. He demonstrated strong expertise in AI engineering, including RAG systems, LLM integrations, and production-ready AI solutions. Communication was excellent, deadlines were met, and the final deliverables exceeded our expectations. We are very satisfied with the outcome and would gladly work with him again. Highly recommended.
About Ali
AI Engineer | RAG, LLM, Chatbots, Voice AI, Agentic AI & Automation
Karachi, Pakistan - 2:41 am local time
My professional career spans six years of working with leading AI development and consulting firms, culminating in my role as a Senior AI Engineer at a US-based software house, where I led large-scale, production-grade AI projects for global enterprise clients. Prior to this, I led delivery of critical fintech infrastructure at a major financial institution, overseeing payment systems, fraud detection pipelines, and data platforms that handled real transaction volume under regulatory and reliability constraints.
I bring both the technical depth to architect complex AI systems and the product judgment to know which features actually move the needle for a business, and which ones are just nice to have.
𝐖𝐞'𝐫𝐞 𝐚 𝐠𝐫𝐞𝐚𝐭 𝐟𝐢𝐭 𝐢𝐟:
✅ You want to automate repetitive workflows with AI agents that actually work in production
✅ You need a Voice AI assistant, RAG-powered chatbot, or intelligent document Q&A system
✅ You want a full stack AI web app, not just a backend pipeline, but a complete product
✅ You need AI integrated into tools you already use: Slack, Notion, Salesforce, HubSpot, and more
✅ You want one technical partner who owns the project from architecture to deployment
𝐓𝐡𝐢𝐬 𝐦𝐢𝐠𝐡𝐭 𝐧𝐨𝐭 𝐛𝐞 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐦𝐚𝐭𝐜𝐡 𝐢𝐟
❌ You're experimenting with AI with no clear goal or success metric
❌ You expect a production-ready system in under 2 weeks
❌ You're not open to iteration and collaborative problem-solving
𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐠𝐞𝐭 𝐰𝐡𝐞𝐧 𝐰𝐞 𝐰𝐨𝐫𝐤 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫
→ Zero surprises: Scope and costs confirmed before a single line of code is written.
→ On-time, on-budget delivery: Reliable delivery with consistent communication throughout.
→ Fast response: Under 30-min reply time. I keep communication quick and clear.
→ End-to-end ownership: Architecture to deployment, I manage the full lifecycle with no handoffs.
→ Battle-tested expertise: Enterprise-proven experience shipping LLMs, RAG pipelines, Voice AI, and agentic systems into production.
𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐈'𝐯𝐞 𝐛𝐮𝐢𝐥𝐭:
🎙️ Voice AI Agent
Real-time voice assistant with LLM reasoning, integrated into a customer-facing support workflow to handle inbound queries end to end.
🗂️ RAG Document Q&A System
Multi-document retrieval system that lets teams query PDFs, contracts, and reports in plain language using vector search and LLM reasoning.
🤖 Multi-Agent Agentic Pipeline
LangGraph-based orchestration system with specialized sub-agents handling research, writing, and review tasks autonomously.
💬 LLM-Powered Support Chatbot
Context-aware chatbot with memory, tool use, and CRM integration that automated the majority of first-line support queries.
🖥️ Full Stack AI Web App
End-to-end AI-powered SaaS product with React frontend, FastAPI backend, and custom LLM workflows, fully deployed on AWS.
𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 & 𝐒𝐤𝐢𝐥𝐥𝐬:
💻 Languages & Frameworks: Python, FastAPI, Django, Flask, React, Next.js
🧠 AI & LLM Tools: OpenAI, LangChain, LangGraph, LlamaIndex, Anthropic (Claude), Pinecone, ChromaDB
🎧 Voice AI: Real-time speech pipelines, STT/TTS integration, conversational AI systems
⚙️ Automation & Infra: RAG Pipelines, Multi-Agent Systems, Vector Databases, Redis, Celery, Docker, AWS, GCP
🔗 Integrations: HubSpot, Salesforce, Slack, Notion, Stripe, REST APIs
📊 Data & Analytics: PostgreSQL, MongoDB, Pandas, NumPy, Streamlit
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Design
I define the full tech stack, database schema, LLM workflow design and API structure before writing a single line of code.
Backend & LLM Workflow Build
I build the FastAPI backend, integrate the LLM workflows, set up the database and configure all API endpoints.