About the Role

The AI Automation Engineer will design, build, and maintain automated workflows that connect data, tools, and AI models. This role sits at the intersection of low-code automation and AI orchestration, building pipelines that bring together SEMrush, Airtable, ClickUp, GA4, GSC, and OpenAI APIs into a unified agentic system — NOVA.

Key Responsibilities

• Architect and manage n8n or Make workflows integrating 3rd-party APIs.
• Build LLM-powered agents that analyze data and take contextual actions (e.g., audits, reports, keyword tracking).
• Create custom nodes or modules in n8n for specialized logic.
• Manage triggers, webhooks, and Airtable automations for internal data syncing.
• Collaborate with backend developers to connect workflow outputs to databases or UIs.
• Test, debug, and document all workflow logic for scalability and maintenance.
• Implement proper error handling, rate limiting, and retries in workflows.
• Collaborate with GTM and marketing teams to translate business processes into automation logic.

Skills & Experience

Must Have

• 3+ years working with n8n, Make, or Zapier at advanced level.
• Working knowledge of OpenAI / Anthropic / LangChain integrations.
• Solid understanding of REST APIs, JSON, webhooks, and data mapping.
• Ability to write small scripts in JavaScript or Python within workflows.
• Experience connecting marketing or CRM tools (GA4, HubSpot, ClickUp, Airtable).

Nice-to-Have

• Experience in data enrichment / ETL using low-code tools.
• Familiarity with agentic frameworks (AutoGPT, LangGraph, CrewAI).
• Understanding of marketing data models and AI-Ops principles.

Ideal Profile

• Fast problem-solver who can automate business logic quickly.
• Strong documentation habits and ability to design scalable flows.
• Curious about LLM reasoning, data pipelines, and API ecosystems.