End-to-End Full Stack Engineer – AI-Driven, In-Office NYC

Digital Waffle; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Digital Waffle, a high-growth AI-native startup in New York, is hiring a Full Stack Engineer to build broad features across the product stack. You’ll own end-to-end work, from data model to UI, shipping at startup velocity.

The role requires strong production experience with Python, TypeScript, React, and Next.js, and comfort across backend and frontend. You’ll collaborate with product, design, and founders to prioritize work in a fast-paced environment.

Qualifications

• Strong production experience across Python, TypeScript, React, and Next.js.
• Full-stack range with no strong preference for backend or frontend.
• Track record shipping features end to end in startup/high-growth.
• Fluent in AI engineering tools and able to raise output.
• High autonomy and pragmatism in incomplete information.
• Comfortable in a 5-days in-office, high-intensity environment.

Responsibilities

• Build and ship full-stack features across Python, TypeScript, React and Next.js
• Own problems end to end: data model, API, UI, deployment and instrumentation
• Make pragmatic trade-offs between speed and craft based on what the moment needs
• Partner with product, design and the founders on scope and priorities
• Use AI tooling (Claude, Cursor and similar) throughout your workflow to compress the cycle
• Keep an eye on reliability, performance and user experience as the product scales

Skills

Python

TypeScript

React

Next.js

API design

Data modeling

AI tools

Ownership

Job description

Digital Waffle, a high-growth AI-native startup in New York, is hiring a Full Stack Engineer to build broad features across the product stack. You’ll own end-to-end work, from data model to UI, shipping at startup velocity.

The role requires strong production experience with Python, TypeScript, React, and Next.js, and comfort across backend and frontend. You’ll collaborate with product, design, and founders to prioritize work in a fast-paced environment.