Full-Stack Engineer at Emporium AI
This role is being recruited by Jill, an AI Recruiter, on behalf of one of our customers. The next step is to speak with Jack, an AI career agent, to be considered.
About the Company
Emporium AI is an early-stage, research-driven product company building the infrastructure for autonomous AI-native commerce, including generative storefronts, dynamic pricing, and conversational checkout.
About the Role
As a Full-Stack Engineer at Emporium AI, you will build the operating system for AI-native commerce. You'll own end-to-end features across TypeScript, React, and Node.js, moving from design to deployment within weeks. Working directly with live partners in hospitality and e-commerce, you'll bridge the gap between LLM architectures and real-world buyer intent.
Why this role is remarkable:
- Build the future of commerce by creating autonomous agents that negotiate, understand intent, and generate dynamic storefronts in real-time.
- Join a high-velocity, research-driven team based in NYC and Paris that is already shipping products to live partners in hospitality.
- High-impact ownership where you will influence the engineering culture and product roadmap of an early-stage startup from the ground up.
Responsibilities
- Design and ship end-to-end features across the entire stack, including the AI layer, commerce logic, and user-facing React interfaces.
- Collaborate directly with clients and live partners to iterate on product requirements and see your work in production within weeks.
- Architect scalable systems using TypeScript, Node.js, and PostgreSQL to power agent-to-agent markets and conversational checkout flows.
Requirements
- 3–5 years of professional engineering experience with a strong command of TypeScript, React, Node.js, and PostgreSQL.
- Proven track record of shipping consumer or B2B products end-to-end, taking full ownership from initial concept through final delivery.
- Thrives in early-stage environments characterized by ambiguity and values first-principles thinking to solve complex infrastructure problems.
Location
New York City, USA