You will get a full AI MVP backend built with FastAPI, Postgres, and AI APIs
Project details
You will get a production-ready AI SaaS backend built with scalable architecture, modern AI tooling, and clean backend development practices. I build custom backends for startups and growing businesses that need a real product foundation, not just a working prototype that breaks under real users.
I specialize in Python, FastAPI, PostgreSQL, Supabase, OpenAI, and Claude (Anthropic). I develop multi-tenant architecture with row-level security, authentication, background job processing, and AI features such as chat, RAG, or automation built directly into the backend rather than bolted on afterward. Every backend is designed to handle real traffic and real data, not just a demo account.
Every project is scoped clearly, tested against real use cases, and documented so you can maintain it without depending on me for every change. Whether you are launching a new AI product or rebuilding an existing backend to scale, I focus on architecture that holds up over flashy demos.
✅AI SaaS Backend Development
✅Multi-Tenant Architecture
✅Production-Grade AI Integration
✅Scalable Database Design
I specialize in Python, FastAPI, PostgreSQL, Supabase, OpenAI, and Claude (Anthropic). I develop multi-tenant architecture with row-level security, authentication, background job processing, and AI features such as chat, RAG, or automation built directly into the backend rather than bolted on afterward. Every backend is designed to handle real traffic and real data, not just a demo account.
Every project is scoped clearly, tested against real use cases, and documented so you can maintain it without depending on me for every change. Whether you are launching a new AI product or rebuilding an existing backend to scale, I focus on architecture that holds up over flashy demos.
✅AI SaaS Backend Development
✅Multi-Tenant Architecture
✅Production-Grade AI Integration
✅Scalable Database Design
Machine Learning Tools
ChatGPT, GitHub Copilot, Python, Sonnet, SQLWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$1,900
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 21 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 3 | 6 | 10 |
Number of Graphs/Charts | 0 | 1 | 1 |
Model Validation/Testing | - | ||
Model Documentation | - | - | |
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$75 - $250
Additional Revision
+$75
Additional Model Variation
(+ 2 Days)
+$150
Additional Scenario
(+ 2 Days)
+$100
Additional Graph/Chart
(+ 1 Day)
+$100
Model Validation/Testing
(+ 3 Days)
+$200
Model Documentation
(+ 2 Days)
+$150Frequently asked questions
About Zain
AI Agent & RAG Developer | Python, FastAPI, OpenAI, Claude, Next.js
Lahore, Pakistan - 6:29 pm local time
Most "AI integrations" are a single API call wrapped in a chat window. I build the system around the model: memory, tool use, retrieval, structured outputs, and failure handling, so the AI can actually be trusted with a real workflow.
𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝:
AI Agents & Agentic Workflows Multi-step agents with memory, tool/function calling, and autonomous follow-up logic using OpenAI, Claude, and LangChain/LangGraph. Lead qualification, document processing, internal automation, and workflows that hand off to a human only when they should.
RAG & Knowledge Systems pipelines over your own documents, CRM data, or knowledge base. Embeddings, vector search, pgvector and Pinecone, chunking strategies tuned to the data type, and grounded responses that cite sources instead of guessing.
AI Backend & SaaS Architecture Python and FastAPI backends, PostgreSQL and Supabase, multi-tenant architecture with row-level security, background jobs, and cloud deployment. React or Next.js on top when the project needs a user-facing interface.
AI Automation & Integrations Connecting AI to the tools a business already runs on: n8n, Zapier, webhooks, Stripe, CRMs, and other REST APIs, with retries and validation so automations don't silently fail.
I've built AI-powered CRM platforms, document Q&A systems, quoting agents connected to supplier APIs, and lead-generation automation running on n8n.
If you're building an AI agent, a RAG system, or an LLM-powered product that needs to hold up in production, send me what you're working with and where it's stuck. I'll tell you exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Zain can start the project.
Delivery time starts when Zain receives requirements from you.
Zain works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and Architecture Planning
I review your product, existing infrastructure, and AI feature needs, then design the database schema, multi-tenancy approach, and API structure.
Build and Integration
I build the backend, implement authentication and data isolation, integrate the required AI features, and test against real use cases.