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Mirage

Software Engineer, Backend

Union Square, New York City$175k–$275kfulltimemidAdded today

About this role

Mirage is seeking a Backend Engineer to design and operate scalable systems powering an AI-native video platform. You'll own end-to-end backend infrastructure, integrate generative AI models into production, and collaborate across product and ML teams to ship high-impact features.

What you'll do

  • Design and own backend systems end-to-end including services, APIs, and data pipelines
  • Solve complex distributed systems challenges around scaling, concurrency, and performance
  • Deploy, serve, and scale large generative AI models in production environments
  • Instrument and iterate on systems in production to improve quality and reliability
  • Design core platform infrastructure with third-party integrations and security considerations

What they're looking for

  • Backend systems design and architecture
  • Distributed systems and scalability
  • API design and development
  • Data pipelines and infrastructure
  • Production ML model deployment and serving
  • Performance optimization and debugging
  • Rapid iteration and shipping in fast-paced environments
  • LLM and generative AI experience (preferred)

Benefits

  • Comprehensive medical, dental, and vision coverage
  • 401K with employer match
  • Commuter benefits
  • Catered lunch multiple days per week
  • Dinner stipend for late-night work
  • Team offsites and monthly events
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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.

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Likely interview questions

  • Walk us through a backend system you designed end-to-end in production—what were the key technical decisions and tradeoffs?
  • How have you approached scaling a system to handle significant growth or unexpected load?
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