Software Engineer, Backend

Mirage•New York, NY

3d•$175,000 - $300,000•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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 an early engineer at one

Responsibilities

Design, 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