AI Systems Builder – Multi-Agent Orchestration, Backend Automation

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Scale Virtually VA

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

👥 HR Tech

⚡ Productivity

B2B • HR Tech • Productivity

Scale Virtually VA is a world-class staffing agency that specializes in providing skilled virtual assistants to help businesses streamline operations and enhance productivity. They offer customized solutions for administrative tasks, marketing, sales, and real estate services, allowing companies to focus on core revenue-generating activities. Through a comprehensive recruitment process, Scale Virtually ensures that the right talent is placed in the right roles, facilitating rapid business growth and operational efficiency.

📋 Description

• 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

🎯 Requirements

• 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