Software Engineer, Backend

Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.

We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.

Our Products

Captions

Mirage Studio

Our Technology

AI Research @ Mirage

Mirage Model Announcement

Seeing Voices (white-paper)

Press Coverage

TechCrunch

Lenny’s Podcast

Forbes AI 50

Fast Company

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 , 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 all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
  
  

We do not work with third-party recruiting agencies, please do not contact us**

About The Role

Backend engineering at Mirage isn’t narrowly defined. We work across product, platform, and machine learning—building the systems, services, APIs, and ML pipelines that power all of our product surfaces.

You’ll own critical backend systems end-to-end, partnering closely with product, design, client, and AI teams to turn ambitious ideas into reliable, scalable production systems. This opportunity is ideal for engineers who enjoy solving complex technical problems while staying connected to product and user outcomes.

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
  
  

What Makes You a Great Fit

• 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
  
  

Even better if...

• 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
  
  

Benefits:

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter Benefits
• Catered lunch multiple days per week
• Dinner stipend every night if you're working late and want a bite!
• Grubhub subscription
• Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)
• Multiple team offsites per year with team events every month
• Generous PTO policy
  
  

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.

Compensation Range: $185K - $285K