AI-Driven Full Stack Engineer — Seed Team

United States Digital Space LLC; United States; Remote; USD 110,000 - 165,000; Full time

Benefits offered by this job

Work-from-home arrangement

Competitive salary and benefits

Job summary

United States Digital Space LLC seeks a Full Stack Engineer to help build AI-augmented features across frontend and backend. You will be among the first dedicated full stack engineers, enabling autonomous, end-to-end development in collaboration with product teams.

You will integrate AI coding tools into daily workflows, own end-to-end production projects, and mentor peers while pushing improvements in cross-team collaboration and software lifecycle.

Qualifications

• Bachelor's degree in CS or AI-related field.
• 1–5 years of professional experience.
• Strong backend: Java or Golang.
• Proficiency in Node.js and React.
• Experience owning end-to-end projects in production.
• Familiarity with database design and data modeling.
• Highly proficient with AI coding tools (Cursor, Copilot, Claude Code).

Responsibilities

• Own end-to-end development of product features spanning frontend and backend.
• Integrate AI coding tools as a core part of daily workflow.
• Translate product requirements into working implementations with minimal handoff friction.
• Act as a full stack seed within your team and mentor peers.
• Identify efficiency bottlenecks and propose cross-team improvements.
• Contribute to the full product lifecycle from ideation to deployment.

Skills

Java

Golang

Node.js

React

Database design

AI coding tools

End-to-end ownership

Requirements articulation

Self-driven

Product mindset

Education

Bachelor's degree in Computer Science or AI-related major

Tools

Kafka

RabbitMQ

TypeScript

Job description

United States Digital Space LLC seeks a Full Stack Engineer to help build AI-augmented features across frontend and backend. You will be among the first dedicated full stack engineers, enabling autonomous, end-to-end development in collaboration with product teams.

You will integrate AI coding tools into daily workflows, own end-to-end production projects, and mentor peers while pushing improvements in cross-team collaboration and software lifecycle.