You will get AI features integrated into your website or app
Project details
I will integrate AI features into your existing website or web app, such as an AI chatbot, smart search, RAG-based document/product search, recommendation flow, or AI model API integration.
I can work with OpenAI, Gemini, Claude, or another AI provider depending on your requirement. I can also help with Python/FastAPI backend APIs, frontend integration, prompt handling, response formatting, API testing, and deployment-ready code structure.
This service is useful for businesses that want to add practical AI features to an existing product without rebuilding the whole application.
For e-commerce or web apps, I can help with product helper chatbots, FAQ assistants, smart product search, customer support automation, and AI-powered user flows.
This project does not include full website or full e-commerce development from scratch unless we agree on a custom scope.
I can work with OpenAI, Gemini, Claude, or another AI provider depending on your requirement. I can also help with Python/FastAPI backend APIs, frontend integration, prompt handling, response formatting, API testing, and deployment-ready code structure.
This service is useful for businesses that want to add practical AI features to an existing product without rebuilding the whole application.
For e-commerce or web apps, I can help with product helper chatbots, FAQ assistants, smart product search, customer support automation, and AI-powered user flows.
This project does not include full website or full e-commerce development from scratch unless we agree on a custom scope.
AI Development Type
Deep Learning, Knowledge Representation, Recommendation System, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$299
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20Frequently asked questions
About Mithlesh
AI Backend Developer | FastAPI, RAG, LLM APIs, AI Security
New Delhi, India - 12:53 pm local time
I help startups and businesses build practical AI-powered features inside real products but not just Only demos.
🤖 𝗔𝗜 & 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻
✅ OpenAI-compatible APIs, Gemini, Grok, Azure OpenAI, and LiteLLM-based workflows
✅ AI chatbots, smart search, product assistants, and automation workflows
✅ Prompt handling, response formatting, retries, streaming, and usage tracking
✅ Multi-provider AI backend workflows and API integration
🔎 𝗥𝗔𝗚 & 𝗔𝗜 𝗦𝗲𝗮𝗿𝗰𝗵 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
✅ RAG pipelines for documents, FAQs, products, and knowledge bases
✅ Vector search using FAISS, pgvector, OpenSearch, BM25, ChromaDB, Pinecone, etc
✅ Metadata filtering, ACL-aware retrieval, and backend search APIs
✅ AI-powered question answering and document intelligence workflows
⚙️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
✅ Python, FastAPI, AsyncIO, REST APIs, multi-tenancy and microservices
✅ PostgreSQL, Redis, Kafka, Celery, SQLAlchemy, Alembic, and Docker
✅ API testing, pytest, debugging, performance improvements, and production fixes
✅ CI/CD, Docker Compose, automation scripts, and developer workflow improvements
🛒 𝗪𝗲𝗯 𝗔𝗽𝗽 & 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗔𝗜 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀
✅ AI chatbot integration into existing websites or apps
✅ Product recommendation, FAQ assistant, smart product search, and customer support automation
✅ Frontend-to-backend API integration using JavaScript, React, Next.js, Node.js, Express.js, etc
✅ Deployment-ready backend and integration structure
🛡️ 𝗔𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗥𝗲𝗱 𝗧𝗲𝗮𝗺𝗶𝗻𝗴
✅ Prompt injection testing
✅ Jailbreak and unsafe-output testing
✅ RAG security checks
✅ AI workflow risk review
✅ API and backend security-focused testing
🧠 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲
✅ Built backend functionality for AI security workflows, including AI red teaming, model integrations, triage services, CVE discovery, and RAG-enabled systems
✅ Built multi-provider AI workflows and SDK/CLI tooling across Gemini, Grok, Azure OpenAI, and LiteLLM
✅ Designed RAG pipelines and FAISS-backed retrieval workflows for conversational AI applications
✅ Built a Solana API-powered responsive web app with landing and trading-style user flows
✅ Improved backend reliability, test coverage, CI/CD, Docker Compose workflows, and developer onboarding materials
⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲
✅ 4+ years of real-world backend and AI engineering experience
✅ Strong focus on scalable, maintainable, production-ready systems
✅ Experience with startups, remote teams, backend teams, and QA collaboration
✅ Clean, testable code with practical documentation
✅ Clear communication and milestone-based delivery
✅ M.Tech in Artificial Intelligence from Delhi Technological University
🚀 𝗠𝘆 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗦𝘁𝘆𝗹𝗲
✅ I understand the problem before building the solution
✅ I design clean backend architecture
✅ I write reliable and testable code
✅ I deliver small, verifiable milestones
✅ I build solutions that scale with your product
Send me a message on Upwork and I’ll be happy to discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Mithlesh can start the project.
Delivery time starts when Mithlesh receives requirements from you.
Mithlesh works on your project following the steps below.
Revisions may occur after the delivery date.
Review requirements
I will review your website/app, AI feature goal, tech stack, API access, and expected user flow before starting development.
Plan integration
I will define the AI flow, backend API structure, prompts, data inputs, and frontend integration approach.