Mirage is an AI-native video platform that uses generative models to automate video editing. This role focuses on designing and building agentic systems that power creative workflows for short-form video, reducing friction and enabling new creative possibilities. As an early member of the team, you'll tackle foundational problems in generative media and drive the development of AI agents that can take creative actions on behalf of users.
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
Requirements
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)
Mirage (formerly known as Captions) is an AI-focused video generation and editing platform that leverages frontier research to create photorealistic AI video. The company provides a suite of tools that allow users to generate videos from text prompts and edit content using AI-powered features.