Remote Full-Stack AI Engineer (Spring/Node + Python)

United States Digital Space LLC; United States; Remote; USD 48,000 - 168,000; Full time

Benefits offered by this job

Medical, vision, and dental benefits

401k retirement plan

Paid time off

Paid holidays

Job summary

United States Digital Space LLC is seeking a highly skilled Full Stack Engineer (AI-focused) to design and maintain scalable web apps. You will work with Spring Boot or Node.js, Python, and modern front-end frameworks to deliver AI-enabled features in a DevOps-friendly environment.

You will build RESTful APIs, integrate ML models with data scientists, and create CI/CD pipelines using GitHub Actions while collaborating across teams.

Qualifications

• We are seeking a highly skilled Full Stack Engineer with a strong background in building scalable web apps.
• Proven experience with either Java/Spring Boot or JavaScript/Node.js and Python.
• Experience with front-end frameworks and RESTful API design is required.

Responsibilities

• Design, develop, and maintain both client-side and server-side architecture for web apps.
• Build robust back-end services and RESTful APIs using Spring Boot or Node.js.
• Develop responsive front-end interfaces with React/Angular/Vue.js.
• Leverage Python for scripting and AI/ML model integration.
• Collaborate with data scientists to deploy AI features and models.
• Create and optimize CI/CD pipelines using GitHub Actions.
• Manage SQL and NoSQL databases and ensure secure, scalable systems.

Skills

Full stack engineering

Spring Boot

Node.js

Python

React/Angular/Vue

GitHub Actions

CI/CD

RESTful APIs

SQL/NoSQL

AI/ML exposure

DevOps

Education

Bachelor's degree in CS or related field

Tools

Git

GitHub Actions

Docker

Kubernetes

PostgreSQL/MySQL

MongoDB

Job description

United States Digital Space LLC is seeking a highly skilled Full Stack Engineer (AI-focused) to design and maintain scalable web apps. You will work with Spring Boot or Node.js, Python, and modern front-end frameworks to deliver AI-enabled features in a DevOps-friendly environment.

You will build RESTful APIs, integrate ML models with data scientists, and create CI/CD pipelines using GitHub Actions while collaborating across teams.