Remote AI-Driven Backend & Full-Stack Engineer

United States Digital Space LLC; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

United States Digital Space LLC is seeking a Remote AI Backend / Full-Stack Engineer to build and scale an AI-powered travel planning platform. You will develop backend services in Python, create APIs with FastAPI, and collaborate on frontend features using React.

The role supports an international, fully remote team and emphasizes clean architecture and scalable solutions. You will work with MongoDB and AWS, review code via GitHub PRs, and participate in agile sprint planning.

Qualifications

• Proven experience building backend services in Python.
• Experience designing and implementing APIs (FastAPI or similar).
• Experience with MongoDB and AWS infrastructure.
• Frontend familiarity with React for feature integration.
• Proficient in collaborating via GitHub pull requests and code reviews.

Responsibilities

• Develop and maintain backend services using Python and FastAPI.
• Build and optimize APIs powering AI-driven travel planning features.
• Collaborate through GitHub PRs and code reviews with engineers.
• Participate in sprint planning and agile development cycles.
• Work on frontend components using React.
• Integrate backend with MongoDB and AWS infrastructure.
• Ensure clean architecture and coding standards.
• Improve system performance, reliability, and scalability.
• Collaborate with AI and product teams to enable new platform capabilities.

Skills

Python

English communication

APIs design

Tools

FastAPI

MongoDB

React

GitHub

AWS

Job description

United States Digital Space LLC is seeking a Remote AI Backend / Full-Stack Engineer to build and scale an AI-powered travel planning platform. You will develop backend services in Python, create APIs with FastAPI, and collaborate on frontend features using React.

The role supports an international, fully remote team and emphasizes clean architecture and scalable solutions. You will work with MongoDB and AWS, review code via GitHub PRs, and participate in agile sprint planning.