AI-Native Full-Stack Engineer - Own End-to-End Impact

United States Digital Space LLC; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) plan

Flexible PTO and holidays

Remote-first with home-office support

Direct access to leadership

Job summary

United States Digital Space LLC is seeking an experienced software engineer to own customer-facing products and internal tools built on our AI-native platform. You will collaborate with operations, sales, underwriting, marketing, and finance to turn needs into production-ready features.

You will ship a v1 today and iterate quickly, using AI tooling to accelerate delivery while ensuring code quality and security. Remote work in the U.S.

Qualifications

• 5+ years of professional software engineering with ownership of production systems.
• Experience shipping features using AI tooling to accelerate delivery 3–5x.
• Proficient across Python, JavaScript/TypeScript, SQL, REST/GraphQL and cloud deployment (AWS).
• Strong architectural sense with agent orchestration and LLM integrations in production.

Responsibilities

• Own projects end to end including backend, frontend, deployment and live iteration.
• Design and launch AI agents tied to measurable business results.
• Collaborate with the Lead AI Architect on evolving AI platform architecture.
• Integrate with Salesforce, Snowflake, Gmail, Zoom, Slack and internal tools.
• Prefer using open source AI projects before building from scratch.

Skills

Python

JavaScript/TypeScript

SQL

REST/GraphQL

AWS cloud

AI tooling & agent orchestration

LangGraph / multi-agent patterns

LLM APIs & RAG

Prompt engineering

Open-source AI integration

Tools

Claude Code

Cursor

Codex

Devin

Job description

United States Digital Space LLC is seeking an experienced software engineer to own customer-facing products and internal tools built on our AI-native platform. You will collaborate with operations, sales, underwriting, marketing, and finance to turn needs into production-ready features.

You will ship a v1 today and iterate quickly, using AI tooling to accelerate delivery while ensuring code quality and security. Remote work in the U.S.