I will build a custom ai chatbot backend and API integration


About this gig
**Are you looking to integrate a robust, custom AI chatbot into your website, CRM, or existing application?**
Most AI bots fail in production because of weak backends. I specialize in building **secure, production-ready AI Gateways** that connect your system seamlessly to powerful LLMs like OpenAI.
Whether you need a simple AI endpoint or an enterprise-grade bot with conversation memory and database logging, I provide highly optimized backend architectures.
** WHAT YOU WILL GET:**
* **Custom REST APIs:** High-speed, secure, and scalable endpoints using Python & FastAPI.
* **LLM Integration:** Seamless connection to OpenAI via LangChain.
* **Conversation Memory:** Context-aware bots that remember user chat history (Thread-safe sessions).
* **Webhook & CRM Sync:** Ready-to-connect architectures for Zapier, HubSpot, or custom frontends.
* **Database Setup:** Secure storage for user sessions and chat logs.
**️ CORE TECH STACK:
* Python, FastAPI, Uvicorn
* OpenAI API, LangChain
* Pydantic (Strict Data Validation)
WHY CHOOSE THIS GIG?
I don't just write basic scripts; I build **scalable architectures**. Every delivery includes strict error handling, optimized server response
Get to know Hemil Sakhwala
Lead AI Architect for Custom APIs and Automation
- FromIndia
- Member sinceAug 2026
- Avg. response time2 days
Languages
Hindi, English, Gujarati
My Portfolio
FAQ
Do you build the website UI or Frontend as well?
No, this gig focuses strictly on the Backend Architecture and API integration (Python/FastAPI). I will provide secure REST API endpoints that your frontend developer can easily connect to any platform (React, WordPress, Custom App).
What do I need to provide to get started?
I will need a clear explanation of your chatbot's core purpose, your target platform, and your OpenAI API key to test the LLM integration.
Is this just a simple ChatGPT wrapper?
No. I build custom, thread-safe backend architectures using LangChain. This means your API can handle multiple users simultaneously while retaining individual conversation memory (context) securely.
