[Hiring] AI Agent Trainer & Technical Ops Integrator @Magnolia Home Inspections

Role Description

Join our entrepreneurial team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work. We are looking for a proficient Software Engineer - AI Trainer to help advance the build of our human-centered AI Operating System that supports operations of multiple businesses we own.

This role owns the execution layer of an AI-driven operating environment. You will implement and manage a multi-agent AI system that supports real-world business operations, translating direction into working infrastructure across logistics, communication, and internal workflows. We are building more than a raw platform: we bring agents to life, giving them clear purpose and specialized training, and orchestrate them into self-governing teams — all while keeping humans firmly at the center of strategy, creativity, relationships, and purpose.

You are responsible for improving functioning systems quickly and reliably. The work is hands-on, technical, and operational—ensuring stability while continuously improving how the business runs.

Core Responsibilities

• Logistics Continuity & Coverage
  • Maintain uninterrupted scheduling and coordination of inspections
  • Preserve quality and consistency in vendor and client communications
  • Fully assume logistics responsibilities during coverage periods without escalation
• Systemization & Redundancy
  • Document all logistics workflows (SOPs, checklists, contingencies)
  • Build structured systems that allow seamless role substitution
  • Reduce dependency on any single individual
• Technical Development & Automation
  • Build and maintain internal tools using Linux-based environments and AI coding platforms (Cursor, Codex, ClaudeCode, OpenClaw)
  • Convert leadership direction into functional systems and workflows
  • Deliver consistent, production-ready outputs on a weekly cadence
• Executive Technical Execution
  • Act as a technical executor for Benjamin
  • Translate strategy into completed systems, tools, and deliverables
  • Eliminate bottlenecks between planning and execution
  • Execute assigned initiatives within 24–48 hour turnaround
• Continuous Improvement
  • Identify inefficiencies across logistics and internal systems
  • Implement structured improvements on a monthly basis
  • Enhance reliability, speed, and clarity across operations

Success Outcomes

• Zero disruption in logistics during coverage periods
• Fully documented and transferable logistics system
• Weekly delivery of functional technical outputs
• Reduced execution lag between idea and implementation
• Measurable improvements in operational efficiency

Ideal Candidate Profile

• Prefers structured, technical work over ambiguous or high-risk decision-making
• Strong attention to detail and commitment to accuracy
• Comfortable working independently once expectations are clear
• Communicates in a direct, factual manner
• Values clear processes, defined expectations, and stability
• Demonstrates reliability, consistency, and follow-through
• Capable of learning systems deeply and executing them precisely
• Motivated by producing correct, complete work rather than rapid experimentation

Management & Environment Fit

• Clear objectives and defined expectations will be provided
• Initial guidance and structured onboarding will be extensive
• Increasing autonomy will be granted as competency is demonstrated
• Feedback will be direct, private, and specific
• Role emphasizes trust, consistency, and ownership over time

Operational Coverage Requirement

While this role is primarily focused on building and maintaining our AI operating systems, Magnolia operates as a lean, high-accountability business. As such, this position also provides structured help for our logistics role when that person is on leave.

During these periods, you will assume ownership of scheduling, coordination, and communication—ensuring continuity without disruption. This is not a permanent responsibility, but a defined expectation to maintain operational stability while core systems are being built and scaled.

Bonus Compensation

Bonus Compensation available as we scale successful platforms.