Company: Lyfe Hardware LLC

Experience: 46 Years

Type: Full-time | Remote (EST overlap preferred)

Lyfe Hardware is a fast-growing ecommerce brand scaling across Shopify and global marketplaces. We are building automation-first, AI-enabled systems to streamline operations and reduce manual work.

This role sits at the intersection of automation, full-stack development, and applied AI .

Automation & Workflow Systems (Core):

  • Design and build scalable workflows using n8n or similar tools
  • Automate processes across Shopify, Amazon, Etsy, Wayfair, Asana, Slack, Gorgias, Google Sheets, ERPNext, Stripe, etc.
  • Replace fragile Zapier flows with robust, production-grade automation
  • Handle APIs, OAuth, webhooks, retries, logging, and error handling
  • Build workflows for order processing, shipment tracking, support tickets, and task automation
  • Monitor and maintain automation reliability
  • Train internal teams to use and manage workflows
  • AI & LLM Integration:

  • Integrate AI/LLMs into workflows and applications
  • Use AI for data extraction, routing, decision-making, and internal tools
  • Work with OpenAI, LangChain, or similar frameworks
  • Support prompt design and AI-driven automation logic
  • Full-Stack Development:

  • Develop backend systems using Python (mandatory)
  • Build integrations and services using Node.js / JavaScript
  • Support frontend components using React (basic level)
  • Design APIs and scalable data flows
  • Work with databases and cloud environments
  • Ownership & Collaboration:

  • Work closely with founders and cross-functional teams
  • Own features end-to-end (design build deploy)
  • Document systems and workflows
  • Must-Have:

  • 4+ years in full-stack or automation-focused development
  • 2+ years working with n8n or similar tools in production
  • Strong Python skills (mandatory)
  • Good JavaScript knowledge for integrations
  • Experience automating ecommerce or operational workflows
  • Strong understanding of APIs, webhooks, OAuth
  • Experience with deployment (Docker preferred)
  • Exposure to AI/LLMs (OpenAI, LangChain, etc.)
  • Experience in startup or fast-paced environments
  • Good to Have:

  • ERPNext or inventory/warehouse automation experience
  • Experience handling high-volume workflows (1000+ events/day)
  • Start: Immediate
  • Timezone: EST overlap preferred
  • Equipment: Candidates should have their own lapto
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