AI Voice & Text Outreach Bot Development
Budget: $3,000 – $5,000 USD
Job Opportunity: AI Voice & Text Bot Developer (Open-Source First, Compliance-Ready)
We are seeking an experienced full-stack developer to build a production-ready AI-powered voice and SMS outreach system. The system will prioritize open-source solutions wherever feasible, with only essential paid components, and must be fully compliant with US (TCPA, A2P 10DLC) and international (GDPR/CCPA) regulations.
This project combines voice and text automation, real-time AI responses, and lead categorization logic into a streamlined, cost-efficient architecture.
Project Scope & Technical Overview
Goal: Develop an AI-enabled text and voice bot system for cold outreach (calls + SMS), optimized for simplicity, low latency, and long-term cost-efficiency.
Component Tech Stack/Tools
SMS & Voice API Twilio Programmable SMS & Voice (A2P 10DLC compliance)
STT (Speech-to-Text) Deepgram API (real-time transcription; only approved paid service)
AI Engine Claude 3.5 (or equivalent LLM API)
TTS (Text-to-Speech) Kokoro (XTTS fork; open-source, self-hosted voice synthesis)
Backend Next.js + FastAPI (Python preferred)
Task Queue Celery (async message/call processing)
Database Firebase + PostgreSQL
CRM/Webhooks Zapier, Make.com, and direct webhook support
Core Features
Text Bot:
Bulk contact upload (CSV).
Bulk SMS sending via Twilio Messaging Service (number rotation + spam mitigation).
AI-powered conversation handling using Claude 3.5.
Lead scoring based on:
Timeline
Motivation
Property Condition
Price
Automated follow-up sequences:
Hot → Immediate alert
Warm → Bi-weekly nurture
Cold → 6-week follow-up
Unqualified → No further contact
Opt-out compliance: Auto-detect STOP/UNSUBSCRIBE; maintain a global Do Not Contact (DNC) list.
Manual override: Option to pause AI and reply manually.
Campaign performance dashboard: Track delivery, response rates, and conversions.
Template & multi-campaign support.
Voice Bot:
Outbound AI-powered cold calls using Twilio Programmable Voice.
Real-time transcription with Deepgram STT.
AI-driven conversation with Claude 3.5, streaming responses.
Voice synthesis using Kokoro (XTTS fork, fully self-hosted).
Turn-based call handling (no mid-sentence interruption in v1).
Call recording + full transcription download.
Opt-out compliance: Voice opt-out phrase detection.
Silence detection: Auto-disconnect if no response within X seconds.
Call scheduling: Enforce compliant call windows (no late-night/early-morning calls).
Compliance Requirements
A2P 10DLC registration (via Twilio Trust Hub).
TCPA (Telemarketing) compliance:
Consent capture and audit logging.
Opt-out handling (SMS & voice).
Call time restrictions enforcement.
GDPR/CCPA compliance:
Consent capture & privacy policy hooks.
Recording compliance:
Pre-call consent message for recordings.
Architecture Requirements
Streaming AI pipeline:
Human audio → Deepgram (STT) → Claude 3.5 (streaming response) → Kokoro (TTS) → Twilio playback.
Low-latency design:
Target ~0.8–1.2 seconds lag between human stop and AI response.
Asynchronous architecture (Celery or equivalent) to support high concurrency.
Webhook-ready for CRM integrations (Zapier, Make, etc.).
Modular: Built to allow future addition of new AI models or features.
Developer Requirements
Proven experience with:
Twilio APIs (Programmable SMS & Voice)
Open-source TTS systems (especially Kokoro/XTTS forks or similar self-hosted models)
Deepgram STT & Claude (or comparable AI API) integrations
Backend development (Python, FastAPI, Next.js)
Asynchronous task processing (Celery, Redis, RabbitMQ)
Compliance-aware development: A2P 10DLC, TCPA, GDPR/CCPA
Database expertise: Firebase + PostgreSQL
CRM/webhook integrations
Strong documentation and clean code practices
Critical Notes
The TTS engine (Kokoro) must be self-hosted and optimized for near real-time streaming playback.
Only Deepgram (STT) and Claude (AI response) are approved paid components.
Developer must provide clear documentation for compliance processes (for future audits).
Timeline
Phase 1: Text bot buildout (6–8 weeks)
Phase 2: Voice bot + full AI integration (6–8 weeks)
How to Apply
Please submit:
Examples of similar AI bot or voice automation projects.
Your experience with open-source TTS engines (Kokoro/XTTS preferred).
High-level architecture plan or feedback.
Estimated timeline and budget proposal.
We are seeking an experienced full-stack developer to build a production-ready AI-powered voice and SMS outreach system. The system will prioritize open-source solutions wherever feasible, with only essential paid components, and must be fully compliant with US (TCPA, A2P 10DLC) and international (GDPR/CCPA) regulations.
This project combines voice and text automation, real-time AI responses, and lead categorization logic into a streamlined, cost-efficient architecture.
Project Scope & Technical Overview
Goal: Develop an AI-enabled text and voice bot system for cold outreach (calls + SMS), optimized for simplicity, low latency, and long-term cost-efficiency.
Component Tech Stack/Tools
SMS & Voice API Twilio Programmable SMS & Voice (A2P 10DLC compliance)
STT (Speech-to-Text) Deepgram API (real-time transcription; only approved paid service)
AI Engine Claude 3.5 (or equivalent LLM API)
TTS (Text-to-Speech) Kokoro (XTTS fork; open-source, self-hosted voice synthesis)
Backend Next.js + FastAPI (Python preferred)
Task Queue Celery (async message/call processing)
Database Firebase + PostgreSQL
CRM/Webhooks Zapier, Make.com, and direct webhook support
Core Features
Text Bot:
Bulk contact upload (CSV).
Bulk SMS sending via Twilio Messaging Service (number rotation + spam mitigation).
AI-powered conversation handling using Claude 3.5.
Lead scoring based on:
Timeline
Motivation
Property Condition
Price
Automated follow-up sequences:
Hot → Immediate alert
Warm → Bi-weekly nurture
Cold → 6-week follow-up
Unqualified → No further contact
Opt-out compliance: Auto-detect STOP/UNSUBSCRIBE; maintain a global Do Not Contact (DNC) list.
Manual override: Option to pause AI and reply manually.
Campaign performance dashboard: Track delivery, response rates, and conversions.
Template & multi-campaign support.
Voice Bot:
Outbound AI-powered cold calls using Twilio Programmable Voice.
Real-time transcription with Deepgram STT.
AI-driven conversation with Claude 3.5, streaming responses.
Voice synthesis using Kokoro (XTTS fork, fully self-hosted).
Turn-based call handling (no mid-sentence interruption in v1).
Call recording + full transcription download.
Opt-out compliance: Voice opt-out phrase detection.
Silence detection: Auto-disconnect if no response within X seconds.
Call scheduling: Enforce compliant call windows (no late-night/early-morning calls).
Compliance Requirements
A2P 10DLC registration (via Twilio Trust Hub).
TCPA (Telemarketing) compliance:
Consent capture and audit logging.
Opt-out handling (SMS & voice).
Call time restrictions enforcement.
GDPR/CCPA compliance:
Consent capture & privacy policy hooks.
Recording compliance:
Pre-call consent message for recordings.
Architecture Requirements
Streaming AI pipeline:
Human audio → Deepgram (STT) → Claude 3.5 (streaming response) → Kokoro (TTS) → Twilio playback.
Low-latency design:
Target ~0.8–1.2 seconds lag between human stop and AI response.
Asynchronous architecture (Celery or equivalent) to support high concurrency.
Webhook-ready for CRM integrations (Zapier, Make, etc.).
Modular: Built to allow future addition of new AI models or features.
Developer Requirements
Proven experience with:
Twilio APIs (Programmable SMS & Voice)
Open-source TTS systems (especially Kokoro/XTTS forks or similar self-hosted models)
Deepgram STT & Claude (or comparable AI API) integrations
Backend development (Python, FastAPI, Next.js)
Asynchronous task processing (Celery, Redis, RabbitMQ)
Compliance-aware development: A2P 10DLC, TCPA, GDPR/CCPA
Database expertise: Firebase + PostgreSQL
CRM/webhook integrations
Strong documentation and clean code practices
Critical Notes
The TTS engine (Kokoro) must be self-hosted and optimized for near real-time streaming playback.
Only Deepgram (STT) and Claude (AI response) are approved paid components.
Developer must provide clear documentation for compliance processes (for future audits).
Timeline
Phase 1: Text bot buildout (6–8 weeks)
Phase 2: Voice bot + full AI integration (6–8 weeks)
How to Apply
Please submit:
Examples of similar AI bot or voice automation projects.
Your experience with open-source TTS engines (Kokoro/XTTS preferred).
High-level architecture plan or feedback.
Estimated timeline and budget proposal.