AI Voice Agent Chat Bot Developer

About the Project

We are building an AI-powered Voice & Text Bot to automate cold outreach, lead qualification, and follow-ups via calls and SMS. The system will use Claude 3.5 for AI conversation handling, Twilio & Bandwidth for VoIP & SMS, LiveKit for real-time AI voice streaming, and a web dashboard for analytics, lead tracking, and performance monitoring.

AI Voice & SMS Bot System
Tech Stack
Claude 3.5 – AI text generation & objection handling
Twilio & Bandwidth – SMS & VoIP for AI-powered calls & text automation
LiveKit – AI voice streaming for real-time conversations
Deepgram STT – Speech-to-text (STT) for AI-powered transcriptions
Deepgram TTS – AI-generated voice for outbound calls
Coqui TTS (XTTSv2) – AI-generated outbound call voices
Firebase – Lead storage & user authentication
PostgreSQL – Database for call/SMS logs & lead tracking
AI Bot Text System Setup & Final Architecture

Responsibilities
1.AI-Powered Voice & Text Bot Development
Develop a Twilio & Bandwidth AI Voice Agent to handle outbound calls, record responses, and follow a dynamic script.
Create an AI SMS Bot (Claude 3.5 API) to automate text conversations.
Implement LiveKit for real-time AI voice streaming in cold calls.

Set up Deepgram for real-time call transcriptions and keyword detection.
Use Coqui TTS (XTTSv2) and Deepgram TTS for AI-generated outbound call voices.
Implement AI objection handling using prompt engineering + Retrieval-Augmented Generation (RAG).

AI Lead Categorization: Build a rule-based or machine-learning model to qualify leads based on Timeline, Reason, Condition,
and Price.

2.Web Dashboard & Analytics
Develop a user-friendly dashboard to track AI call & SMS logs, monitor response & conversion rates, and categorize leads.
Allow manual lead updates & human intervention.
Implement a CSV upload system for bulk contact management.
Integrate Calendly API for appointment booking.

3. CRM & Third-Party Integrations
Implement Zapier/Make.com integrations to sync AI leads with HubSpot, Salesforce, Podio.
Build Webhooks for custom CRM integrations.

4.Compliance & A2P Legal Handling
Set up A2P 10DLC registration for legal SMS outreach.
Implement opt-in/opt-out handling & number rotation to avoid spam filters.
Handle Twilio SIP trunking for scalable AI voice calls.
Ensure TCPA, GDPR, and CCPA compliance for SMS & calls.
Implement DNC (Do Not Call) list handling for opt-outs.

5.AI Continuous Learning & Memory System
Store past objections & responses in Pinecone/Weaviate/ChromaDB.
Implement AI memory retrieval to personalize responses.
Set up sentiment analysis for improved lead categorization.

Required Skills
AI & NLP
Experience with Claude 3.5 API for AI text generation.
Strong knowledge of Prompt Engineering & Retrieval-Augmented Generation (RAG).

Familiarity with AI lead categorization techniques (Rule-based & ML).
Twilio, Bandwidth & AI Voice Streaming
Twilio Programmable Voice & SMS API for call automation.
Bandwidth Messaging API for AI SMS Bot.

A2P 10DLC registration & compliance for outbound messaging.
SIP trunking, call recording, and transcription setup.
LiveKit – Real-time AI voice streaming for calls.
Deepgram STT – AI speech-to-text transcriptions.
Coqui TTS (XTTSv2) & Deepgram TTS – AI-generated outbound call voice.

Backend Development
Python (FastAPI, Flask, or Django) for API development.
Firebase/PostgreSQL for lead storage & authentication.
Webhooks & API integrations (Claude API, Twilio API, Calendly API)

Frontend & Dashboard
React or Next.js for building an interactive lead management dashboard.
Data visualization (charts, tables, lead progress tracking).

DevOps & Cloud Hosting
Deploy AI bot on AWS/GCP/Vercel/Firebase.
Secure APIs with OAuth/Auth0.