You will get Custom AI Chatbot & RAG Bot with OpenAI API
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Project details
I build Custom AI Chatbots and RAG-based AI systems using Python, FastAPI, OpenAI API, Claude, LangChain, LangGraph, vector databases, pgvector, embeddings, and structured outputs. Your bot can answer from documents, websites, product data, or internal knowledge with grounded responses, function calling, API integrations, and practical cost controls. Built for SaaS, Healthcare, Real Estate, Finance, and customer-support workflows. You receive a tested, production-ready chatbot with clean documentation.
Programming Languages
HTML & CSS, JavaScript, PythonWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 7 days
- Number of Revisions 2
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DS
Dzmitry S.
Jun 1, 2026
SaaS React Application Development (per Milestone)
HL
Hannah L.
Apr 30, 2026
Software Engineer – Workflow & Call Operations & Event Management Platform
UR
Usman R.
Mar 11, 2026
Full Stack Developer / AI Developer for a SAAS company
Ahmed completed the work for us related to an AI agent workflow and Python backend logic. He understood the requirements quickly and delivered a working solution on time. Good communication and solid understanding of AI systems, APIs, and automation workflows.
UR
Usman R.
Jan 16, 2026
JavaScript Fullstack Developer / Frontend React Developer / Node.js Developer Needed for SaaS Co.
Excellent experience working with Ahmed. Reliable, skilled, and easy to work with. We plan to rehire him for future and long-term projects. Highly recommended!
JH
Jammond H.
Oct 17, 2025
React Strapi Fixes
Good engineer. Worked well on complex tasks
About Muhammad
Agentic AI Engineer | AI Agent, AI Automation, SaaS, Python, Claude
100%
Job Success
Lahore, Pakistan - 6:55 am local time
With 9+ years of full-stack engineering experience, I take AI ideas from MVP to a scalable product. I design the agent logic, backend APIs, integrations, dashboards, and deployment, so you do not need separate AI and full-stack developers.
Need an AI Agent, Voice AI Agent, RAG chatbot, multi-agent workflow, or Multi-Tenant SaaS platform? I architect it, build it, and hand it over tested, documented, and ready for production.
--- WHAT I BUILD ---
- AI Agents and AI Automation for support, sales, operations, lead qualification, data extraction, and internal workflows
- Custom Chatbot and RAG-based AI bots for grounded answers over documents, websites, and business knowledge
- Voice AI Agents, Voice-to-Voice systems, and Sales AI Receptionists for inbound calls, qualification, booking, follow-up, and WhatsApp Bot Integration
- Multi-Tenant SaaS platforms with authentication, roles, dashboards, billing, APIs, and workflow automation
- Agent orchestration and Multi-Agent Systems with LangGraph, LangChain, CrewAI, AutoGen, MCP, tool calling, structured outputs, and human-in-the-loop controls
- LLM integrations with Claude, OpenAI API, Claude Code, Prompt Engineering, model routing, embeddings, vector databases, pgvector, and evaluation-aware workflows
- Full-stack delivery with Python/FastAPI, Node.js, React, Next.js, TypeScript, Tailwind CSS, PostgreSQL, Supabase, Docker, GitHub, AWS, Vercel, Stripe, Twilio, and n8n
- API Development, API Integration, Backend Refactoring, Audio Processing, and scalable REST API architecture for production systems
--- PROJECT EXPERIENCE ---
- AI Workforce SaaS: multi-organization scheduling, HR, CRM, payroll, billing, RAG knowledge base, AI communications, and predictive operational alerts
- Voice AI SaaS: multi-tenant voice agents with LangChain, LangGraph, RAG, knowledge bases, CRM integrations, analytics, and a Claude-based copilot
- Operations Automation: real-time task allocation, workflow automation, optimization services, GraphQL APIs, and dashboards
- Healthcare, donor-management, and booking SaaS platforms built with Python, FastAPI, PostgreSQL, React, and secure multi-tenant architecture
--- INDUSTRIES I HAVE DELIVERED FOR ---
- SaaS Startups • Healthcare • Real Estate • Finance • Car Dealerships • Restaurants • E-commerce
--- HOW I WORK ---
As a Python Developer and FastAPI Developer with 8+ years of experience, I build Agentic AI systems, agent pipelines, and API workflow automation including Function Calling, Structured Outputs, Model Routing, and Embeddings.
As a Senior Full-Stack Engineer with 9+ years of experience, I build scalable web applications using React, TypeScript, Node.js, NestJS, and Next.js with clean REST API architecture and production-ready deployment on Vercel and AWS.
As a Senior Full Stack Engineer, I deliver clean architecture and full team handoff documentation.
--- WHAT YOU GET ---
- Clear architecture before build
- Production-ready backend, frontend, APIs, and integrations
- Secure authentication, role-based access, and maintainable data design
- Clean documentation, practical cost controls, and reliable handoff
- An MVP that can grow into a stable SaaS product
--- WHY CLIENTS CHOOSE ME ---
- 9+ years as a Full Stack and Python Developer across AI systems, SaaS platforms, and backend APIs
- Senior Full Stack Engineer and FastAPI Developer for architecture, AI backends, and execution
- Deep knowledge of Function Calling, Structured Outputs, Model Routing, and Embeddings
- 9+ years across React, TypeScript, Node.js, and Python, both stacks, one developer
- No black boxes, no guesswork, always documented
- Delivered across 7+ industries: SaaS Startups, Healthcare, Real Estate, Finance, Car Dealerships, Restaurants, E-commerce
--- WHOM I WORK BEST WITH ---
Founders and product teams building AI products, AI automation, agentic workflows, RAG systems, Voice AI, or AI-enabled SaaS. I am a strong fit when you need one engineer to connect AI logic, product UI, backend services, data, and deployment.
If you are building an AI Agent, AI Automation system, Voice AI Agent, RAG product, or AI SaaS platform, send me your project details.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Audit
I review your documents, data sources, and query types to build the right RAG pipeline and vector indexing strategy before development.