Founding Fullstack Engineer
- New York, NY, United States
$160,000 to $250,000 USD / year
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Job details
- Pay
- $160,000 to $250,000 USD / year
- Posting language
- English
- Posted
Original job description
ABOUT THE ROLE
Join an early-stage AI company as its first in-person engineering hire in New York. You will own the core systems around AI agents, connecting business platforms and logistics partners so wholesale operations can run reliably.
WHAT YOU'LL DO
- Take customer-facing features from discovery through design, implementation, and production.
- Design secure, auditable data models and event-driven pipelines that support agent workflows.
- Build internal and external APIs and a real-time operator console for operational visibility.
- Develop integrations with ERP systems, logistics providers, retailers, and freight partners.
- Build resilient synchronization systems and establish observability, SLOs, and on-call practices.
- Work across backend, data engineering, and frontend systems wherever you can have the greatest impact.
WHAT WE'RE LOOKING FOR
- Two to six years of software engineering experience, including hands-on product engineering at a startup or small team.
- A strong full-stack foundation and experience building robust, reliable production systems outside consultancy.
- Experience with TypeScript, Node.js, React, Tailwind, Postgres, queues or streams, and AWS or GCP.
- Product intuition and systems thinking, with attention to both developer and operator experience.
- Startup or small-team experience, or fewer than five years working exclusively at large technology companies.
- Strong early-career signals such as rigorous technical training, experience at a high-growth startup, or a brief period at a large technology company.
COMPENSATION & BENEFITS
Base salary is $160,000 to $250,000 annually. Visa sponsorship is available.
LOCATION
On-site in New York City, five days a week. Candidates must be willing to work on-site or relocate.
More about this job
Skills
- Full-stack development
- Logistics
- Data models
- ERP
- Data engineering
- TypeScript
- Node.js
- React
- AWS
- Google Cloud
- Systems thinking