# AI Systems Builder (Multi-Agent Orchestration & Backend Automation)

> Scale Virtually · United States (Remote) · — · Posted 2026-06-04

**Workplace:** remote

**Department:** Service Delivery Department

## Description

### ROLE TITLE

We are looking for Virtual Professionals based in the Philippines, India, or United States.

-   This is a fully remote position for the role of AI Systems Builder (Multi-Agent Orchestration & Backend Automation).
-   Applications with an introduction video attached will be prioritized.
-   Due to the fully remote nature of this role, it is important that candidates are comfortable communicating on video calls.

### ROLE SUMMARY

You build and ship production-grade AI systems that run real business workflows end-to-end.

This is not an experimentation or research role. You are building:

-   multi-agent systems
-   workflow automation engines
-   backend infrastructure for AI agents
-   deployed systems used by real estate operators and businesses

You will work inside a small, fast-moving team shipping real systems for real clients—not prototypes, not demos.

You are expected to:

-   unblock yourself without guidance
-   design and implement full-stack AI workflows
-   integrate APIs, databases, and agent orchestration layers
-   ship working systems, not isolated components

If you need step-by-step instructions, rely on tutorials, or struggle turning architecture into deployed systems, you will fail in this role.

Filtering signal: This role is not for candidates who have only used AI tools, but never shipped multi-agent systems in production.

### CORE RESPONSIBILITIES (REAL EXECUTION BEHAVIOR)

### 1\. MULTI-AGENT SYSTEM DEVELOPMENT (CORE ENGINEERING FUNCTION)

-   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

### 2\. AI WORKFLOW AUTOMATION ENGINEERING

-   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

### 3\. BACKEND + DATA SYSTEMS (POSTGRES / SUPABASE CORE)

-   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

### 4\. API INTEGRATION & SYSTEM CONNECTIVITY

-   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

### 5\. FULL SYSTEM SHIP & DEPLOYMENT OWNERSHIP

-   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

### 6\. SELF-DIRECTED ENGINEERING EXECUTION

-   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

### REQUIREMENTS (NON-NEGOTIABLE)

-   Proven experience building and shipping multi-agent systems in production
-   Hands-on experience with OpenClaw, Hermes, or equivalent agent frameworks
-   Strong backend engineering experience (PostgreSQL required)
-   API integration experience in real production environments
-   Strong proficiency in Python or TypeScript/JavaScript
-   Comfortable working in CLI, Git, and deployment environments
-   Ability to independently design and implement full systems end-to-end

If you have not shipped real AI systems (not demos), you are not qualified for this role.

### BONUS EXPERIENCE (STRONGLY PREFERRED)

-   Supabase production systems
-   React (frontend for AI tools)
-   GoHighLevel or HubSpot integrations
-   Vector databases (Pinecone, Weaviate, etc.)
-   Docker-based deployments
-   Real estate operations system experience

### WHAT WE ACTUALLY CARE ABOUT

-   You have shipped working AI systems used in real workflows
-   You understand how to build agent systems that don’t break in production
-   You can design systems, not just code features
-   You unblock yourself without waiting for instructions
-   You build infrastructure that other people rely on
-   You think in systems, not prompts or scripts
-   You deliver working tools, not prototypes

### WHAT THIS ROLE IS NOT

-   Not a prompt engineering role
-   Not a chatbot-building or UI-only AI role
-   Not a research or experimentation position
-   Not a no-code automation or Zapier-style builder role
-   Not a junior Python scripting job
-   Not a tutorial-following “AI enthusiast” role
-   Not a role where someone defines every architecture decision for you

### POSITION DETAILS

-   Full-time contractor
-   100% remote (global)
-   Flexible hours (performance-driven, not time-driven)
-   Fast-paced engineering environment
-   Small team, high ownership, high autonomy

### APPLICATION INSTRUCTIONS

Include:

-   Resume
-   Links to shipped systems (required)

-   GitHub repos
-   live tools
-   agent systems
-   deployed workflows

Working systems matter more than resumes.

We will ignore applications without real shipped work.

## Apply

[Apply at Scale Virtually](https://apply.workable.com/scale-virtually/j/D87E5AB61E/apply)

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