Scale Virtually VA

Backend Engineer

• Build and ship multi-agent orchestrator systems using Claude Code / agent frameworks
• Design agent roles, workflows, and memory structures for real business operations
• Implement coordination logic between agents (task delegation, state passing, retries)
• Ensure systems are production-ready (not demos or notebooks)
• Continuously refine agent behavior based on real-world execution outcomes
• Convert business workflows into automated AI-driven pipelines
• Build standalone agent SDKs and reusable automation modules
• Design systems that execute multi-step business processes without human intervention
• Ensure workflows are reliable, observable, and maintainable in production environments
• Optimize for failure recovery, not just successful execution paths
• Design and implement PostgreSQL schemas for agent systems and workflows
• Build Supabase-backed applications powering AI agents and automations
• Ensure data integrity across multi-agent operations
• Structure databases for real-time agent execution and state tracking
• Debug and optimize backend performance when workflows break
• Build and maintain production API integrations across business tools
• Connect AI agents to external systems (CRMs, property tools, communication tools)
• Handle authentication, rate limits, retries, and failure states
• Ensure integrations are stable and production-safe, not experimental scripts
• Debug end-to-end system flows when integrations fail
• Take systems from architecture → build → deployment → production use
• Package AI systems into usable tools or SDK-like deliverables
• Ensure systems are deployable, maintainable, and configurable
• Write clean, production-grade code (not prototypes or notebooks)
• Maintain and improve systems after deployment based on real usage
• Identify missing requirements without being told
• Break down ambiguous system requests into buildable components
• Choose implementation paths independently
• Debug production issues without escalation dependency
• Maintain momentum without waiting for structured assignments

AI Systems Builder – Multi-Agent Orchestration, Backend Automation

Lead Generation

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Lead Manager, Lead Generation, CRM Ownership

Project Manager

• Own the day-to-day execution layer of construction projects across field crews and clients
• Actively run coordination across multiple live projects in real time
• Ensure communication between field execution and client delivery
• Manage ~10 project stages per job
• Coordinate Spanish-speaking field crews and handle client communication
• Ensure CRM data aligns with real-world progress
• Identify and resolve project stall points through direct coordination
• Manage client inquiries and translate technical updates into client communication
• Generate structured cost outputs using AI estimation tools

Bilingual Construction Project Manager – Field Operations, Execution Control

Analyst

• Serve as the gatekeeper of deal quality for our Austin, TX acquisitions pipeline.
• Responsible for sourcing, analyzing, underwriting, and coordinating deals.
• Monitor Austin-area MLS daily to identify properties within our buy box.
• Review inbound opportunities from agents, wholesalers, and off-market sources.
• Gather and validate property, comp, rental, and market data.
• Calculate MAO, ARV, and projected cash-on-cash returns.
• Coordinate underwriting workflow once deals show potential.
• Maintain clean, structured, and version-controlled deal tracking systems.

Virtual Real Estate Underwriter – Acquisitions Analyst

• Track active project timelines and immediately flag when milestones are slipping or misaligned with field reality
• Update and reconcile schedule shifts based on field inputs, vendor delays, or permit constraints
• Step in when updates are missing and proactively chase information from relevant stakeholders
• Maintain real-time accuracy of JobTread data (budgets, schedules, RFIs, submittals, change orders)
• Correct incomplete or inconsistent entries when discovered, rather than waiting for others to fix them
• Ensure project documentation in JobTread reflects actual field conditions, not outdated assumptions
• Act as the real-time communication bridge between Project Manager, site superintendents, and field crews
• Resolve coordination gaps when field updates are delayed, unclear, or conflicting
• Initiate and manage communication with vendors and suppliers regarding lead times, orders, and delivery tracking
• Track permit status from submission through approval and proactively chase updates from authorities
• Generate and format progress reports based on live project data, not static updates
• Maintain and continuously adjust the master project schedule based on real-time execution data
• Coordinate material and equipment delivery timing with field readiness
• Identify conflicts between planned schedules and actual site constraints before they become blockers

AI Systems Builder – Multi-Agent Orchestration, Backend Automation

Lead Manager, Lead Generation, CRM Ownership

Bilingual Construction Project Manager – Field Operations, Execution Control

Virtual Real Estate Underwriter – Acquisitions Analyst

Construction Project Manager – Operations, Coordination