You will get Claude or OpenAI integrated into your existing web app
Project details
I integrate Claude (Anthropic) or OpenAI into your existing web app. You get a working LLM call from your backend, secure key handling, retry logic, structured logging, and a test endpoint to verify everything works.
What you get:
• 1 LLM provider (Claude or OpenAI) wired into your backend
• Secure API key storage (.env or AWS Secrets Manager pattern)
• Error handling, exponential backoff retries, structured logs
• A test endpoint so you can verify the integration end-to-end
• Inline code comments and a short README for hand-off
Stack support: Python (FastAPI, Django), Node.js (Express, Nest), PHP (Laravel, Symfony).
Why this works:
• Senior backend engineer, 20+ years shipping production SaaS
• Real LLM-integrated products in production: Axon (multi-tenant AI agent SaaS), OdooForge (AI helpdesk), n8n Agent Studio
• Clean abstraction layer so you can swap providers later without rewriting code
• Async, clear communication. No ghosting, no surprises.
Integrating an LLM into an existing product or building an AI feature from scratch? This covers the integration core. Need RAG, prompt templates, or a full LLM SaaS feature? Pick Standard or Advanced.
What you get:
• 1 LLM provider (Claude or OpenAI) wired into your backend
• Secure API key storage (.env or AWS Secrets Manager pattern)
• Error handling, exponential backoff retries, structured logs
• A test endpoint so you can verify the integration end-to-end
• Inline code comments and a short README for hand-off
Stack support: Python (FastAPI, Django), Node.js (Express, Nest), PHP (Laravel, Symfony).
Why this works:
• Senior backend engineer, 20+ years shipping production SaaS
• Real LLM-integrated products in production: Axon (multi-tenant AI agent SaaS), OdooForge (AI helpdesk), n8n Agent Studio
• Clean abstraction layer so you can swap providers later without rewriting code
• Async, clear communication. No ghosting, no surprises.
Integrating an LLM into an existing product or building an AI feature from scratch? This covers the integration core. Need RAG, prompt templates, or a full LLM SaaS feature? Pick Standard or Advanced.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$65
|
Standard
$125
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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
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MA
Mr Ali A.
May 21, 2026
Laravel 11: small Artisan task to clean up stale pending orders (1 hour, $20)
Quick and efficient Laravel 11 task completed professionally. Cleaned up stale pending orders via Artisan command with clear logic and proper scheduling considerations. Communication was smooth, delivery was on time, and attention to detail was solid. Would gladly work together again.
About Atif
Senior Backend Engineer | Python + Node.js + Go | AI Agents & LLM SaaS
Islamabad, Pakistan - 6:10 pm local time
Recent shipped work:
- Axon: production AI agent SaaS (multi-tenant, RAG, mobile companion, Stripe billing)
- OdooForge: cloud-portable Odoo deploy kit with an AI helpdesk module
- StoreBridge: multi-tenant Shopify SaaS with Postgres RLS and HMAC webhook verification
- n8n Agent Studio: 3-workflow AI automation portfolio with a Next.js dashboard
What I help clients build:
- AI agents and LLM-integrated SaaS (Claude, OpenAI, LangGraph, RAG, semantic search)
- Multi-tenant backends with RLS, audit trails, and clean tenant isolation
- Scalable REST APIs (FastAPI, Node.js, Laravel, Symfony)
- Async pipelines and real-time data flows (RabbitMQ, Redis, Go workers)
- Production observability (Kong, ELK, structured logs, CI/CD)
How I work:
- Ask the right questions before writing code
- Ship a working prototype in week 1, not at the end
- Clean architecture and tests your next engineer can actually maintain
- Async, clear communication. No ghosting, no surprises.
Steps for completing your project
After purchasing the project, send requirements so Atif can start the project.
Delivery time starts when Atif receives requirements from you.
Atif works on your project following the steps below.
Revisions may occur after the delivery date.
Review your stack and use case
I read your codebase, confirm the integration point, and clarify the prompt design with you before writing code.
Wire in the LLM provider
Add the chosen provider (Claude or OpenAI) to your backend with secure API key handling and a clean abstraction layer you can swap later.