Senior Automation Architect needed for Scalable AI Rental System (SaaS MVP)
Project Overview
We are an automation agency looking for a Senior Developer or AI Solutions Architect. We are building a "Business-in-a-Box" automation solution for the car rental industry.
The Goal: We have a pilot client (launch customer) for whom we need to build a fully functional Minimum Viable Product (MVP). However, our long-term goal is to white-label and resell this system to other rental companies. Therefore, the architecture must be modular, scalable, and easy to deploy for new tenants.
We are not looking for a simple chatbot script. We need a robust operation system.
Scope of Work
1. The Backend: "Source of Truth" (Inventory Management) Our client currently has no digital infrastructure (uses manual phone/paper). We need a mobile-friendly interface for the owner to manage the fleet.
Requirements: Easy upload of car photos (from phone), setting pricing rules, and managing the calendar.
Logic: The system must handle availability logic, including a "Buffer Time" (e.g., auto-block car for 2 hours after return for cleaning).
Tech Preference: We are open to robust Low-Code (Airtable/Softr/Glide) or Custom Code (Python/FastAPI/React), provided it is stable and cloneable.
2. The Frontend: Omni-Channel AI Agent An AI Assistant (GPT-4o based) integrated via Make.com or custom middleware.
Channels: WhatsApp (Primary), Instagram, Facebook Messenger.
Languages: The bot must detect and switch between Polish, Czech, and English fluently within the same conversation.
Key Features:
Visual Selling: When a user asks for a car, the bot fetches the specific image URL from the DB and sends it as a native image message.
Function Calling: The AI must query the calendar in real-time before promising availability.
Escalation: If the AI detects critical intents (e.g., "Crash", "Damage", "Police"), it must trigger a Twilio Voice Call or High-Priority SMS to the owner immediately.
3. Scalability (The SaaS Requirement)
The code/scenario must not be hardcoded for this specific client.
We need a "Config-based" setup where we can easily onboard Client B and Client C in the future by changing variables (Business Name, Price List, Phone Number).
Project Structure (2 Phases)
To ensure quality and architectural soundness, we are splitting this project into two paid milestones:
Phase 1: Technical Blueprint (Paid Discovery)
Deliverable: A Technical Design Document.
Content: You will analyze our needs and document the exact Tech Stack, Database Schema, API Integrations, and Error Handling protocols you plan to use.
Outcome: We review and approve this blueprint before development begins.
Phase 2: Development & Deployment
Building the approved MVP.
Full implementation of the Database, AI Agent, and Twilio integrations.
Handover: Full source code ownership + A "Deployment Guide" on how to clone this for our next client.
Your Profile
You have proven experience building complex AI Automation systems (beyond simple Q&A bots).
You understand database logic (Relational databases, availability checks).
You are capable of thinking in "Systems" and "SaaS" (Scalability).
How to Apply
Please answer the following questions in your proposal:
Start your cover letter with the word "SCALABLE".
The Tech Stack: Based on our need for a mobile-friendly inventory system + AI agent + future scalability, which specific stack would you recommend (e.g., Airtable vs Custom SQL, Make vs Python)?
The Logic: How would you technically solve the "Availability Check" to ensure the AI never double-books a car?
Cost Estimate: Please provide a rough estimate for the Total Project (Phase 1 + Phase 2).
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