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Mirage

Software Engineer, Web Product

Union Square, New York City$175k–$275kfulltimemidAdded 1 month ago

About this role

Mirage is seeking a Software Engineer to enhance their AI-driven video platform, focusing on creative workflows and sophisticated user experiences. The role involves developing end-to-end solutions in a collaborative environment, pushing the limits of what's achievable in web-based media creation.

What you'll do

  • Manage the entire lifecycle of product features from concept to production.
  • Develop polished, high-performance user experiences for media-rich applications.
  • Create full-stack solutions that ensure performance and scalability.
  • Integrate AI technologies thoughtfully into creative tools.
  • Utilize data and user feedback to drive iterative improvements.

What they're looking for

  • 2+ years of software engineering experience
  • Strong full-stack development skills
  • Proficiency in React, TypeScript, Python, Node.js
  • Experience with API frameworks and cloud platforms
  • Understanding of algorithms and data structures
  • Ability to work in fast-paced environments
  • Excellent time-management skills
  • Strong engineering judgment

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401K with employer match
  • Commuter benefits
  • Catered lunch multiple times a week
  • Dinner stipend for late work hours
  • Grubhub subscription
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Mirage

Mirage builds an AI-native video platform that leverages generative media and large language models to enable sophisticated video production, editing, and creative workflows. The company is hiring backend engineers, full-stack software engineers, ML engineers, and iOS developers to advance their AI-driven platform and enhance user experiences in web-based and mobile media creation.

View all jobs at Mirage

Likely interview questions

  • Walk us through a complex full-stack feature you built end-to-end. How did you handle the frontend, backend, and data flow?
  • Tell us about a time you had to optimize performance for a media-rich or real-time application. What was the bottleneck and how did you solve it?