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Develop an Autonomous Real Estate AI Agent with OpenClaw
FreelanceJobs
- Canada
- Canada
Über
This is not a basic chatbot project. The goal is to build a production-grade AI agent that can actively support brokerage, advisory, and deal origination workflows while maintaining a structured memory of contacts, relationships, and market interactions.
Core Objectives:
Build a scalable autonomous AI agent for commercial real estate workflows
Create a standalone platform (SaaS-style, not just internal automation)
Centralize deal flow, contact intelligence, outreach, comps, and documents in one system
Allow continuous learning from interactions, market data, and relationship history
Key Functional Areas (Initial Scope):
Property and ownership data aggregation (public records, listings, APIs)
Comparable analysis by asset class (PPSF, land vs building, price per door, price per key, cap trends)
Intelligent outreach drafting to property owners, brokers, and investors (email + CRM integrations)
Social media monitoring (brokers, developers, recent sales) with actionable alerts
Automated content generation (market reports, articles, recent sale summaries)
LOI drafting and contract auto-fill (purchase agreements, leases, NDAs, etc.)
E-signature integrations (DocuSign, PandaDoc, Dropbox Sign or similar)
Deal pipeline tracking and probability scoring
Task automation and workflow execution
Contact & Relationship Intelligence (Critical Feature):
Centralized contact database (owners, brokers, investors, tenants, developers)
Relationship tracking with memory of conversations, emails, and interactions
Smart tagging (buyer criteria, asset preferences, deal history, geography)
Automated follow-up reminders based on interaction timelines
Relationship scoring (engagement level, likelihood to transact, relevance to deals)
Ability to suggest outreach based on new listings, comps, or market signals
Integration with email, CRM, and messaging platforms
Nice-to-Have / Bonus Experience:
PropTech or commercial real estate platforms
AI agent frameworks (OpenAI, LangChain, AutoGen, CrewAI, etc.)
CRM architecture and contact intelligence systems
Workflow automation tools (Zapier, Make, n8n)
Web scraping and data pipeline development
Document automation and contract generation
Knowledge graphs, vector databases, or long-term memory systems
Dashboard/UI development for data-heavy platforms
Tech Stack:
Open to recommendations. We are platform-agnostic and looking for the most effective architecture (custom agent frameworks, OpenClaw, or hybrid solutions). Candidates are encouraged to propose the optimal tools, data structure, and system design.
Deliverables:
System architecture and technical roadmap
MVP of the autonomous AI agent
Scalable backend + dashboard interface
Contact/relationship intelligence system
Documentation and future feature roadmap
Ideal Candidate:
Experience building AI agents, automation platforms, or SaaS tools
Strong product thinking (not just task-based development)
Experience integrating APIs, CRMs, and data sources
Ability to design systems with long-term memory and relationship tracking
Comfortable working with real-world business workflows and automation logic
Project Type:
Contract (with potential for long-term build and expansion)
Location:
Remote (open globally)
To Apply:
Please include:
Relevant AI agent or automation platforms you've built
Proposed architecture and tools you would use
Estimated MVP timeline
Feature suggestions to enhance an autonomous real estate intelligence and relationship management platform
Contract duration of 1 to 3 months. with 30 hours per week.
Mandatory skills: Lead Generation, Artificial Intelligence, Python, Machine Learning
Sprachkenntnisse
- English
Hinweis für Nutzer
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