Explicitly AI-native: uses Claude and Cursor for fast prototyping and AI-assisted development; building internal AI dev tools and connectors.
About the Role AI-native engineering role building internal AI tools, automations, and connectors for a DTC lab-grown diamond and jewelry group. Ship fast prototypes and production-ready integrations (Shopify, Supabase, Vercel, vendor APIs) while documenting handoffs for other engineers and AI assistants.
Job Description Role You will build and maintain internal AI tools and automations used across a lab-grown diamond and jewelry group, turning loosely defined problems into working systems quickly. The role emphasizes rapid, maintainable shipping with AI-assisted development and clear Markdown handoffs.
Key Responsibilities Build and maintain internal AI tools for data analysis, reporting, customer-service assists, and ops workflows.
Design and ship connectors and integrations across the stack (Shopify, Supabase, Vercel, Google Workspace, vendor APIs/FTP feeds, MCP-style integrations).
Maintain and extend existing systems such as data sync pipelines and internal dashboards without breaking production.
Iterate quickly using AI tools (Claude, Cursor), validate outputs, and prioritize practical delivery over long planning cycles.
Produce clear handoff documentation in Markdown: setup steps, architecture notes, and runbooks.
Requirements Hands-on fluency with AI coding tools (Claude, Cursor, or similar) and judgement about when to trust vs. verify AI outputs.
Experience building connectors and integrations, including auth, rate limits, retries, error handling, and secrets management.
Familiarity with Supabase/Postgres, Vercel serverless, GitHub, Shopify, and webhook/API-driven workflows.
Strong written communication and ability to produce clear Markdown specs and handoff docs.
Bias toward shipping: prefer delivering a working iteration and refining it.
Nice to Have Experience with MCP (Model Context Protocol) servers/connectors.
Background in e-commerce, data pipelines, or large product/inventory datasets.
Experience with prompt engineering and building AI agents.
Location & Type Location: NYC / NJ area (Rutherford, NJ). Work location listed as in-person with hybrid mentioned. Full-time role.
Tools & Tech (explicitly mentioned) Skills System Integration API Development Automation Data Pipeline Development Technical Documentation Problem Solving Rapid Prototyping Reading and Maintaining Code Error Handling & Reliability Written Communication Shipping/Delivery Orientation
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