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Mirage (operating under the brand Captions) is an AI video company building multimodal agents and generative video models to make creative work dramatically easier. The company offers Captions, a creative workspace for video generation and editing; Tesseract, a professional video engine for AI agents; and APIs for developers to integrate their models.
You will design and build agentic systems that power creative workflows for short-form video. This role spans product, machine learning, and systems engineering, with ownership of meaningful problems end-to-end. You'll help define how agents are built and deployed across the product, shaping how AI agents reduce friction and unlock new creative possibilities for users.
Key responsibilities include:
- Building and shipping end-to-end agentic systems that improve creative workflows, balancing quality, performance, and reliability
- Designing agent architectures: how agents gather context, plan, select tools, and execute creative tasks reliably at scale
- Integrating state-of-the-art models, combining internal research and external capabilities to power new agent experiences
- Measuring and improving agent quality in production using experimentation, evaluation frameworks, and real-world feedback
The company is backed by top-tier investors including Sequoia Capital, Andreessen Horowitz, Kleiner Perkins, Index Ventures, and General Catalyst. Most roles require in-person presence at the NYC HQ in Union Square.
REQUIREMENTS:
- 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
- Ability to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end
PREFERRED:
- Experience with multi-agent architectures
- Experience fine-tuning LLMs for specific use cases
- Understanding of where generative media and agentic AI technology is heading
- Grounded, collaborative approach and willingness to do whatever it takes to help the team win
- Background as a startup founder or early engineer at a startup
