Software Engineer, Backend

Mirage • New York, NY

7h • Onsite

About The Position

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. 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.

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 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed