AI SaaS Developer Needed — Build AI Sales Agent MVP for Home-Service Businesses
Budget / Salary$20,000–50,000
TypeFreelance project
LocationRemote
Posted1 hour ago
We are looking for an experienced Full-Stack AI Developer to build an MVP of an AI-powered sales/lead follow-up SaaS for home-service businesses in the US (HVAC, plumbing, roofing, electrical, etc.).
The product will act as an AI sales assistant that automatically communicates with incoming leads, qualifies them, follows up, and helps convert them into booked appointments.
What we want to build
The initial MVP should include:
Lead capture via API/webhook
AI-powered SMS conversations with leads
Automatic lead qualification
AI follow-up when a lead doesn't respond
Appointment scheduling
Calendar integration
Customer/lead dashboard
Conversation history
Basic CRM functionality
Notifications
Stripe subscription/billing
Multi-tenant architecture (each business has its own account/data)
Basic analytics (leads, conversations, appointments, conversion rate)
Example workflow
A customer submits a request on a contractor's website.
Our system receives the lead and automatically sends an SMS:
"Hi John, this is ABC HVAC. We received your request. How can we help?"
The AI continues the conversation, asks relevant questions, determines whether the lead is qualified, and attempts to schedule an appointment.
The business owner can see the entire conversation and lead status from the dashboard.
Suggested technology
We are open to recommendations, but the expected stack is approximately:
Next.js / React
Node.js / TypeScript
PostgreSQL
OpenAI or another modern LLM API
Twilio for SMS/voice
Stripe
Google Calendar / Microsoft Calendar
REST APIs / webhooks
Cloud deployment (AWS, Vercel, or similar)
We are especially interested in developers who have experience building AI agents that can take actions, not just simple ChatGPT wrappers.
Important requirements
You should have experience with:
LLM APIs
AI agents / tool calling
Prompt engineering
RAG or knowledge bases
Twilio/SMS APIs
Third-party API integrations
SaaS architecture
Multi-tenant applications
Authentication and authorization
Stripe subscriptions
PostgreSQL
React/Next.js
Backend development
Production deployments
Experience with CRM, sales automation, appointment booking, call centers, or AI voice agents is a big plus.
The product will act as an AI sales assistant that automatically communicates with incoming leads, qualifies them, follows up, and helps convert them into booked appointments.
What we want to build
The initial MVP should include:
Lead capture via API/webhook
AI-powered SMS conversations with leads
Automatic lead qualification
AI follow-up when a lead doesn't respond
Appointment scheduling
Calendar integration
Customer/lead dashboard
Conversation history
Basic CRM functionality
Notifications
Stripe subscription/billing
Multi-tenant architecture (each business has its own account/data)
Basic analytics (leads, conversations, appointments, conversion rate)
Example workflow
A customer submits a request on a contractor's website.
Our system receives the lead and automatically sends an SMS:
"Hi John, this is ABC HVAC. We received your request. How can we help?"
The AI continues the conversation, asks relevant questions, determines whether the lead is qualified, and attempts to schedule an appointment.
The business owner can see the entire conversation and lead status from the dashboard.
Suggested technology
We are open to recommendations, but the expected stack is approximately:
Next.js / React
Node.js / TypeScript
PostgreSQL
OpenAI or another modern LLM API
Twilio for SMS/voice
Stripe
Google Calendar / Microsoft Calendar
REST APIs / webhooks
Cloud deployment (AWS, Vercel, or similar)
We are especially interested in developers who have experience building AI agents that can take actions, not just simple ChatGPT wrappers.
Important requirements
You should have experience with:
LLM APIs
AI agents / tool calling
Prompt engineering
RAG or knowledge bases
Twilio/SMS APIs
Third-party API integrations
SaaS architecture
Multi-tenant applications
Authentication and authorization
Stripe subscriptions
PostgreSQL
React/Next.js
Backend development
Production deployments
Experience with CRM, sales automation, appointment booking, call centers, or AI voice agents is a big plus.
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