Software Engineer, Agents

Mirage; New York (NY); On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Medical benefits

401K plan

Commuter benefits

Lunch stipend

Dinner stipend

Grubhub subscription

Wellness perks

Team offsites

Generous PTO

Job summary

Mirage is building an AI-native video platform that orchestrates production and editing via natural language. You will design and ship agentic systems enabling creative workflows, with agents taking actions on user behalf while exploring new models and production-ready approaches.

As a senior/Staff+ engineer, you’ll work across product, ML, and systems to own end-to-end problems and help deploy agents at scale in NYC. Join an interdisciplinary team solving hard challenges in generative media.

Qualifications

• 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 in a rapidly evolving space.

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.

Skills

ML systems in production

Agentic pipelines

RAG systems

Context management

Experimentation frameworks

Tools

LLM tooling

Multi-agent architectures

Job description

More about us

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.

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.

While we don’t use hierarchical titles or levels internally, we are currently hiring engineers who have operated at senior or staff+ scope.

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

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
• 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.