New Grad Software Engineer — AI Platform & Systems

United States Digital Space LLC; United States; Remote; USD 165,000 - 182,000; Full time

Job summary

United States Digital Space LLC is recruiting a New Grad Software Engineer to join our Engineering team and contribute to AI-powered systems for leading law firms and enterprises. You will ship production code across the stack, from retrieval to workflow automation, with an accelerated path to ownership.

We are hiring new grads for 2027 across multiple teams (Frontend, Backend, Full-Stack, Infrastructure, Applied AI) with team matches based on interests and graduation schedule.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field, graduate Winter 2026 - Spring 2027.
• Able to work from New York or San Francisco office starting January 2027 and beyond; relocation support available.
• Previous internship experience is required.
• Strong technical foundation with proficiency in one or more languages and solid general CS knowledge.
• AI-forward mindset; comfortable using AI-assisted development tools.

Responsibilities

• Design, implement, and ship production-level code across the stack with high quality and security.
• Collaborate with AI Research, Legal Engineering, Product, and Design to translate problems into product experiences.
• Participate in code reviews and design discussions with senior engineers.
• Experiment with cutting-edge LLMs and AI systems to influence platform evolution.

Skills

Python

TypeScript/JavaScript

Java

Go

CS fundamentals

Education

CS or Software Engineering degree

Tools

Claude Code

Codex

Cursor

Job description

United States Digital Space LLC is recruiting a New Grad Software Engineer to join our Engineering team and contribute to AI-powered systems for leading law firms and enterprises. You will ship production code across the stack, from retrieval to workflow automation, with an accelerated path to ownership.

We are hiring new grads for 2027 across multiple teams (Frontend, Backend, Full-Stack, Infrastructure, Applied AI) with team matches based on interests and graduation schedule.