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

• 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, + GitHub repos

• live tools
• agent systems
• deployed workflows

Do you have experience in Video conferencing software?, * 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

Pulled from the full job description

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