Software Engineer, Backend
Quick Summary
Mirage is an AI video company focused on making creation dramatically easier. Our team tackles some of the hardest creative and technical challenges in generative media.
Mirage is an AI video company focused on making creation dramatically easier. Our team tackles some of the hardest creative and technical challenges in generative media.
We get to rethink how people collaborate with AI that can actually do creative work with them—defining entirely new interaction paradigms for AI-native video tools. We make that possible by building multimodal agents that turn creative direction into edits, rendering engines that composite multiple layers of video and graphics, and generative video models trained from the ground up that create new media when needed.
All of this comes together in Captions, our creative workspace for generating, editing, and designing video. The technology behind Captions is now available more broadly: Tesseract gives any AI agent native video-editing capabilities, while developers can integrate our models into their own products through APIs.
Explore our work
Captions — Our flagship creative workspace
Tesseract — Our professional video engine for AI agents
Research — The foundation models we build in-house
Updates — The latest from Mirage
TechCrunch, Forbes, Fast Company — Press
Our Investors
We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Please note that most of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the Role
~1 min readDesign, build, and own backend systems end-to-end, including services, APIs, data pipelines, and infrastructure that power our products
Solve complex technical challenges across distributed systems, scaling, concurrency, and performance
Integrate and operate large generative AI models in production—deploying, serving, and scaling systems that combine internal research and external capabilities to unlock new product experiences.
Instrument, experiment, and iterate in production to continuously improve system and product quality
Design and operate core platform infrastructure, including integrations with third-party providers, storage systems, security, and internal APIs
5+ years of professional industry experience
A track record of shipping high‑impact systems and/or products in production
Exceptional problem solving fundamentals and ability to learn
Excellent engineering taste combined with a strong sense of practicality and time-management
Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end
You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going
You are grounded, collaborative, and willing to do whatever it takes to help the team win
You have been a startup founder or an early engineer at one
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- October 8, 2026
- First seen
- October 8, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 49%
- Scored at
- October 8, 2026
Signal breakdown
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