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Onramp Lab

AI-enabled operations across marketing and engineering

Developer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
  • Proficiency in programming languages such as JavaScript, Python, or similar.
  • Experience with web frameworks and technologies such as React, Node.js, or Django.
  • Familiarity with database design and management, including SQL or NoSQL.
  • Ability to work effectively in a remote team environment.

Responsibilities

  • Develop, test, deploy, and maintain web applications and software solutions.
  • Collaborate with product managers, designers, and other developers to define and implement features.
  • Write clean, efficient, and well-documented code.
  • Troubleshoot and debug issues to ensure software quality and performance.
  • Stay current with industry trends and technologies to continuously improve development practices.
  • Participate in code reviews and contribute to team knowledge sharing.

Desired Qualifications

  • Experience with AI or machine learning technologies.

About the Company

Onramp Lab

AI-enabled operations across marketing and engineering

Onramp Lab uses AI across all core functions to run its business, not as a separate project. It operates a portfolio of businesses and combines performance marketing, user experience optimization, and in-house engineering to build and scale them. Its products are internal AI-driven workflows and agents that automate real work in engineering, HR, operations, and marketing, enabling daily AI-enabled operations. Compared with others, Onramp Lab integrates AI directly into day-to-day operations across multiple disciplines, maintains in-house engineering to tailor automation, and runs a diversified portfolio of ventures from Taipei and Los Angeles with 70+ professionals. The company aims to make AI the standard way of working—continuously improving processes and scaling its businesses through automated, AI-assisted methods.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Taipei, Taiwan
Founded
2014

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