AI Receptionist Development
Budget: $1,500 – $3,000 USD
We’re looking for an experienced AI developer or automation engineer to build a 24/7 AI-powered receptionist for U.S.-based small and medium-sized businesses (restaurants, gyms, salons, retail shops, etc.). The system should handle voice, chat, SMS, and email, providing natural, context-aware, human-like interactions using advanced NLP, intent recognition, entity extraction, and sentiment analysis.
Core Features:
Multi-channel conversation handling (voice, chat, SMS, email)
Context-aware, multi-turn dialogue management
Appointment scheduling, confirmations, reminders & follow-ups
Integration with CRMs, POS systems, booking tools & calendars
Automated transactional workflows and customer engagement
Real-time analytics dashboard with interaction metrics & performance insights
Technical Requirements:
Scalable, modular cloud architecture (AWS/GCP/Azure)
Low-latency, fault-tolerant performance
Secure data handling compliant with CCPA & HIPAA (where applicable)
Support for continuous learning, feature updates & customization without downtime
Deliverables:
Working MVP (voice + chat)
Admin dashboard with analytics
Integration endpoints (CRM, booking, communication APIs)
Documentation & deployment support
Ideal Candidate:
Proven experience in conversational AI (OpenAI API, Rasa, Dialogflow, or custom LLMs)
Strong API integration & backend development skills
Familiarity with Twilio, Cal.com, or similar telephony/booking APIs
Understanding of data privacy & compliance standards
Budget & Timeline
Please include in your proposal:
Estimated project timeline for demo version needed quickly for initial sales then full version
Tech stack recommendations
Examples of similar projects
Cost breakdown for the full version + monthly maintenance cost. This is not a one time project. We are looking to add 20+ clients in the next 3 months.
Looking forward to connecting with the right person!
Core Features:
Multi-channel conversation handling (voice, chat, SMS, email)
Context-aware, multi-turn dialogue management
Appointment scheduling, confirmations, reminders & follow-ups
Integration with CRMs, POS systems, booking tools & calendars
Automated transactional workflows and customer engagement
Real-time analytics dashboard with interaction metrics & performance insights
Technical Requirements:
Scalable, modular cloud architecture (AWS/GCP/Azure)
Low-latency, fault-tolerant performance
Secure data handling compliant with CCPA & HIPAA (where applicable)
Support for continuous learning, feature updates & customization without downtime
Deliverables:
Working MVP (voice + chat)
Admin dashboard with analytics
Integration endpoints (CRM, booking, communication APIs)
Documentation & deployment support
Ideal Candidate:
Proven experience in conversational AI (OpenAI API, Rasa, Dialogflow, or custom LLMs)
Strong API integration & backend development skills
Familiarity with Twilio, Cal.com, or similar telephony/booking APIs
Understanding of data privacy & compliance standards
Budget & Timeline
Please include in your proposal:
Estimated project timeline for demo version needed quickly for initial sales then full version
Tech stack recommendations
Examples of similar projects
Cost breakdown for the full version + monthly maintenance cost. This is not a one time project. We are looking to add 20+ clients in the next 3 months.
Looking forward to connecting with the right person!