Software Engineer, Agents

Mirage•New York, NY

4d•$175,000 - $300,000•Onsite

About The Position

Mirage is an AI video company focused on making creation easier through multimodal agents, rendering engines, and generative video models. Its technology comes together in Captions, a creative workspace for generating, editing, and designing video. Tesseract provides AI agents with native video-editing capabilities, and developers can integrate Mirage’s models through APIs. This role focuses on designing and building agentic systems for creative short-form video workflows. The engineer will help build agents that take creative actions on users’ behalf, reduce friction, accelerate learning, and unlock new creative possibilities. The role spans product, machine-learning, and systems engineering, with ownership of meaningful problems from end to end and contributions to how agents are built and deployed across the product. Mirage is hiring engineers who have operated at senior or staff+ scope, although it does not use hierarchical titles or levels internally. Most roles require in-person work at the company’s New York City headquarters in Union Square.

Requirements

At least 5 years of professional industry experience.
A track record of designing and developing machine-learning systems or agentic pipelines in production.
Deep experience with context engineering, including RAG systems, token optimization, and context management at scale.
Experience building evaluation systems and agentic infrastructure, including context gathering, tool selection, and 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.

Nice To Haves

Experience with multi-agent architectures.
Experience fine-tuning LLMs for specific use cases.
Awareness of developments in generative media and agentic AI technology.
Grounded, collaborative approach and willingness to do what it takes to help the team succeed.
Experience as a startup founder or early engineer at a startup.

Responsibilities

Build and ship end-to-end agentic systems that improve creative workflows while balancing quality, performance, and reliability.
Design agent architectures for gathering context, planning, selecting tools, and reliably executing creative tasks 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.