AI Systems Engineer
Core
Own and evolve a multi-brand healthcare AI agent ecosystem embedded in daily operations across call center, billing, marketing, and recruiting, providing light operational oversight and cross-department coordination.
Role type
Senior AI Systems Engineer (AI Agent Ecosystem Owner)
Builds
Specialized AI agents, automated workflows, and integrated data pipelines for healthcare operations.
Domain
Healthcare operations + AI agent systems
Deliverable
production ML models
Required skills
AI agent system implementation, CRM platform management (HubSpot), workflow automation (n8n, Zapier), integration architecture, LLMs, agent frameworks, MCP (Model Context Protocol), API orchestration, cross-functional fluency, performance tracking.
Preferred skills
Operations management experience across multiple functions.
Technologies
HubSpot, n8n, Zapier, MCP, LLMs
Responsibilities
Own the AI agent ecosystem end-to-end including integrations, workflows, and data flows; partner with department leads to identify and automate manual processes; provide cross-department operational oversight and track KPIs; manage CRM operations and automation rules; evaluate and adopt new AI tools and architectures; produce structured daily reports on system state.
Seniority
Senior, hands-on IC
