AI Agent Engineer

We are building a fleet of autonomous AI agents operating as functional team members across a multi-entity organization. Each agent is provisioned with its own communication stack (email, phone, calendar, video) and operating system defining identity, tools, behavior, and decision-making authority. Agents run across multiple orchestration frameworks and execute real business workflows. This role owns building, deploying, calibrating, and maintaining these agents at production quality across environments.
Build, configure, and deploy AI agents across multiple orchestration frameworks and runtimes
Manage full agent lifecycle: setup, calibration with human teams, monitoring, and optimization
Integrate agents with core systems (email, telephony, CRM, scheduling, automation tools)
Maintain agent performance: uptime, memory integrity, and correct self-update behavior
Enforce cross-entity governance, routing, and compliance requirements
Troubleshoot runtime, integration, and credential issues across environments
Experience with 2+ AI agent frameworks (OpenClaw, Hermes, CrewAI, LangGraph, AutoGen, Semantic Kernel, Claude Code)
Strong understanding of system prompts, tool calling, MCP, and agent interoperability
Proficiency in macOS, Node.js, Python, Git, and process management (PM2/systemd)
Experience with API integrations (email, SMS, CRM, scheduling, automation tools)
Knowledge of environment configuration, secret management, and SQL databases
Ability to debug agent behavior using logs and operating files
Comfortable managing multiple agents and credentials at scale
Ownership of production-grade AI agent systems
Exposure to real estate, finance, and multi-entity operations
Work with advanced AI orchestration frameworks and infrastructure
High-impact role with measurable performance outcomes (uptime, deployment speed, reliability)
Direct collaboration with AI and operations leadership
On-site role in a fast-moving, execution-focused environment

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