Software Engineer, Agents

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.

Explore our work
Captions — Our flagship creative workspace
Tesseract — Our professional video engine for AI agents
Research — The foundation models we build in-house
Updates — The latest from Mirage
TechCrunch, Forbes, 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 most of our roles will require you to be in-person at our NYC HQ (located in Union Square)

• 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

• 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

• 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