Remote Software Engineer, Data Platforms & AI Pipelines

engineeringjobs.net, Inc.

United States

Remote

USD 200,000 - 280,000

Full time

14 days+
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Job summary

24-MAG LLC is seeking a full-time Software Engineer for remote collaboration on a next-generation platform. You will work across backend APIs, data pipelines, and React frontends, applying Python and TypeScript to build production-ready features that support AI-assisted engineering workflows.

The role blends traditional full-stack work with research-inspired development, partnering with research engineering, operations, and product teams to translate requirements into scalable solutions.

Qualifications

  • Bachelor's degree or equivalent practical experience in Computer Science, Computer Engineering, Software Engineering, or related discipline.
  • Strong fundamentals in Python and TypeScript and ability to build CRUD apps.
  • Experience with FastAPI/Flask backend and React frontend development.

Responsibilities

  • Design and ship production-ready features across backend APIs, data pipelines, and React frontends.
  • Build and maintain backend services using Python frameworks such as FastAPI or Flask.
  • Develop TypeScript-based frontend and platform components.
  • Own features from requirements through implementation, testing, and deployment.
  • Ensure platform reliability and support day-to-day expert workflows.
  • Collaborate with research engineering, operations, and product teams.

Skills

Python
TypeScript
Full-stack
Data platforms
AI workflows

Education

Bachelor's degree or equivalent practical experience in CS/Software Eng

Tools

FastAPI
Flask
React

Job description

24-MAG LLC is seeking a full-time Software Engineer for remote collaboration on a next-generation platform. You will work across backend APIs, data pipelines, and React frontends, applying Python and TypeScript to build production-ready features that support AI-assisted engineering workflows.

The role blends traditional full-stack work with research-inspired development, partnering with research engineering, operations, and product teams to translate requirements into scalable solutions.

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