About the RoleThe 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 & ExperienceMust 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
