Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone.
We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.
More about us
Product (Captions by Mirage)
Research (Seeing Voices, technical-white-paper)
Updates (Mirage on X / twitter)
TechCrunch, Forbes AI 50, 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 all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the role
This role focuses on designing and building agentic systems that power creative workflows for short-form video. You'll help shape how AI agents reduce friction, accelerate learning, and unlock new creative possibilities for our users — building agents that can take creative actions on a user's behalf — while experimenting with emerging models and techniques to bring these experiences to life in production.
Software Engineers on the agents team work across product, machine-learning, and systems engineering — owning meaningful problems end-to-end and helping define how our agents are built and deployed across the product.
Responsibilities
Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability
Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale
Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences
Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration
What Makes You a Great Fit
5+ years of professional industry experience
A track record of designing and developing ML systems or agentic pipelines in production
Deep experience with context engineering: RAG systems, token optimization, context management at scale
Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning)
Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space
Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end
Even better if...
You have worked with multi-agent architectures
You have experience fine-tuning LLMs for specific use cases
You have a pulse on where generative media and agentic AI 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
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
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.
Skills Required
- 5+ years of professional industry experience
- Track record of designing and developing ML systems or agentic pipelines in production
- Deep experience with context engineering (RAG systems, token optimization, context management at scale)
- Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning)
- Exceptional problem solving fundamentals and ability to learn quickly
- Ability to operate effectively in a fast-paced environment and deliver projects end-to-end
- Experience with multi-agent architectures
- Experience fine-tuning LLMs for specific use cases
- Familiarity with generative media and agentic AI technology trends
- Startup founder or early-stage engineer experience
What We Do
We’re building full-stack foundation models and products that are changing video creation, production and editing more broadly. 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.
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