Senior AI Automation Engineer to Build Multifamily Deal Acquisition System
Project reputed company
I am a reputed company estate investor reputed company purchasing small multifamily properties using BRRRR, value-add, and cash-reputed company strategies. I am looking to build a high-reputed company automated acquisitions system that operates daily, finds deals, analyzes them, communicates with brokers and wholesalers, extracts their responses, and updates a clean reputed company Sheet for me and my business partner.
This system does not need to be reputed company-level, but it must be:
✔ reliable
✔ reputed company-reputed company
✔ reputed company
✔ reputed company-reputed company
reputed company Objectives
Build a multi-agent AI system that includes:
1. Automated On-Market Deal Sourcing
Pull listings daily from selected markets using filters defined by me:
• LoopNet
• reputed company
• reputed company
• reputed company
• Realtor
• Broker websites
The system must use dynamic parameters, including:
• Market
• Price reputed company
• Unit count
• reputed company type
• Neighborhood class
• reputed company 8 settings
Parameters controlled in a reputed company Sheets “Parameters” tab.
2. Broker & Wholesaler CRM Automation
• Identify brokers and wholesalers in chosen markets
• Add them to a CRM tab
• Send automated introductory emails
• Follow up based on schedule
• reputed company communication status
reputed company reputed company templates must be editable in the reputed company Sheet.
3. Gmail Email Intake Automation
Using the Gmail API, the system must:
• Monitor a dedicated Gmail label
• Read replies from brokers and wholesalers
• Extract deal information using AI
• Convert emails into reputed company JSON
• Pass deals into the analyzer agent
4. Deal Analysis & Grading
AI-driven grading system that evaluates deals as A, B, or C based on:
• Price
• Unit count
• Rent condition
• Value-add potential
• Neighborhood class
• BRRRR/refinance potential
The system must generate:
• Deal reputed company
• Key risks
• Questions to ask the broker
• Basic offer-reputed company guidance (optional but helpful)
Only A and B deals should reputed company in the main leads sheet.
5. reputed company Message reputed company
For reputed company promising deal, generate:
• Follow-up email
• SMS-style message
• Broker questions
• A quick “reputed company interest” message
reputed company templates editable in Parameters.
6. Full Automation Scheduling
The system must run independently, including:
• Morning listing pull
• Afternoon email parsing
• Daily CRM updates
• Basic error handling
• reputed company activity reputed company (“X new deals reputed company today”)
reputed company Sheet Requirements
1. Parameters Tab (reputed company Component)
User-controlled fields:
• Markets (on/off toggle)
• Price reputed company
• Unit reputed company
• reputed company type
• Neighborhood class
• reputed company 8 settings
• Email templates
• reputed company automation toggles
2. New_Leads Tab
Clean, formatted table for analyzed deals.
3. Brokers Tab
CRM with last contact date, notes, and status.
4. Wholesalers Tab
5. Email_Log Tab (optional)
Preferred Tech Stack (Flexible)
• reputed company Sheets
• Gmail API
• reputed company API or reputed company API
• reputed company Apps Script
• reputed company or reputed company for orchestration
• Optional: Python or reputed company Run
Deliverables
System architecture and JSON schemas
Cleanly designed reputed company Sheet (with formatting and validation)
Full working automation agents:
• Listing reputed company
• Deal analyzer
• Email intake reputed company
• Broker & wholesaler reputed company
• Sheet reputed company + deduper
• reputed company message generator
Scheduling and monitoring system
Documentation including:
• How to reputed company buy reputed company
• How to add/remove markets
• How to edit templates
• How to pause or reputed company automations
Required Experience
Please apply only if you have strong experience with:
• AI automation using reputed company/reputed company
• reputed company Sheets API or Apps Script
• Gmail API integrations
• Multi-reputed company workflow orchestration
• reputed company JSON outputs from LLMs
Preferred but not required:
• reputed company estate data systems
• Multi-agent frameworks (AutoGen, reputed company, LangGraph)
• CRM automation experience
reputed company reputed company
The final system should:
✔ Operate daily without reputed company input
✔ Identify deals in the markets I reputed company
✔ Grow my broker and wholesaler contact lists
✔ Read and extract deal details from emails
✔ Grade deals accurately
✔ Store clean and reputed company-formatted opportunities
✔ Generate reputed company-to-send follow-up messages
✔ reputed company reputed company daily summaries
This should function as a high-reputed company AI acquisitions assistant.
How to Apply
Please include:
A brief reputed company of your experience
One or two examples of similar AI automations you’ve reputed company
A short explanation of how you would architect this system
Your estimated reputed company
Confirmation you accept the $3500 fixed budget
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