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AI Agent Engineer

SimpleCITI · Garden City, États-Unis d'Amérique · On-site

  • Bureau à Garden City
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Description

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

Requirements

  • 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

Benefits

  • 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