AI Chatbot Developer Needed (LLM, RAG, AI Agents, API Integrations)

We are looking for an experienced AI Chatbot Developer to design, develop, and deploy an intelligent conversational AI solution for our business. The chatbot should automate customer interactions, answer questions accurately using our knowledge base, integrate with third-party systems, and provide a seamless user experience across web and messaging platforms. This is an opportunity to work on a production-grade AI application using the latest Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks. ## Responsibilities * Design and develop AI-powered chatbots using modern LLMs. * Build Retrieval-Augmented Generation (RAG) pipelines using vector databases. * Integrate chatbots with websites, mobile applications, CRM, ERP, and other business systems. * Develop AI agents capable of performing business workflows. * Implement conversation memory and context management. * Create admin dashboards for chatbot management and analytics. * Optimize prompts for high-quality responses. * Integrate APIs and external data sources. * Ensure security, scalability, and performance. * Deploy the solution on cloud infrastructure. ## Required Skills * Python (FastAPI, Flask, or Django) * LangChain or LangGraph * OpenAI, Anthropic Claude, Google Gemini, or Llama models * RAG implementation * Vector databases (Pinecone, Weaviate, ChromaDB, Milvus, or FAISS) * Prompt Engineering * REST APIs * PostgreSQL or MongoDB * Redis * Docker * AWS, Azure, or Google Cloud * Git/GitHub ## Preferred Experience * AI Agent development * MCP (Model Context Protocol) * Function Calling & Tool Use * Multi-agent systems * Voice AI integration * WhatsApp Business API * Slack, Microsoft Teams, or Discord bots * Twilio integration * OCR and document processing * Authentication (OAuth, JWT, SSO) * Kubernetes deployment * CI/CD pipelines ## Project Scope The chatbot should support: * Natural language conversations * Company knowledge base search * PDF and document understanding * FAQ automation * Lead qualification * Appointment booking * CRM integration * Human handoff * Multi-language support * Analytics dashboard * Conversation history * User authentication * API integrations * Email notifications * Role-based access control ## Deliverables * Production-ready AI chatbot * Source code with documentation * API documentation * Deployment scripts * Admin dashboard * Testing and QA * Knowledge base integration * Training documentation * Post-launch support ## Nice to Have * Experience with enterprise AI applications * Healthcare, Finance, Insurance, Retail, or SaaS domain experience * Previous chatbot portfolio * Experience deploying scalable AI solutions ## To Apply Please include: 1. A brief introduction about yourself. 2. Links to AI chatbot or AI agent projects you've built. 3. Technologies and LLMs you've worked with. 4. Experience with RAG and vector databases. 5. Estimated timeline for a similar project. 6. Your hourly rate or fixed-price estimate. 7. Availability for meetings in our time zone. We're looking for someone who can build a reliable, scalable, and production-ready AI chatbot with modern AI technologies and best development practices. If you have a proven track record of delivering AI-powered conversational applications, we'd love to hear from you.