Staff AI Automation Engineer
Core
Building MCP connectors, tool integrations, and data pipelines to enable AI agents to access external platforms (analytics, SEO, search console) and execute skills like market reporting and content production.
Role type
Staff AI Automation Engineer (AI Systems Engineer)
Builds
MCP connectors, data pipelines, and reusable agent skill blueprints for international market expansion.
Domain
AI Agents, System Integration, International Market Expansion
Deliverable
production ML models | product features | infrastructure
Required skills
Computer science fundamentals, web application development, AWS cloud configuration, system integration (APIs, webhooks, event pipelines), MCP experience, LLM-based agent building/evaluation, applied AI engineering, system architecture.
Preferred skills
Azure or GCP experience, experience with live market data iteration.
Technologies
AWS, Azure, GCP, MCP, APIs, webhooks, event pipelines, LLMs.
Responsibilities
Build MCP connectors and tool integrations for AI agents; design and evaluate agent skills (e.g., SEO analysis, content production); build data pipelines for real-time market data; partner with Country Managers to iterate on agent performance; replace manual processes with live tooling; document harness and evaluation frameworks.
Seniority
Staff, hands-on IC with strategic ownership
