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Research Engineer, Agentic Systems
Summary by AIEngineer.careers
Research Engineer, Agentic Systems is a AI Agent Engineer role (full-time). with Mirage. in NEW YORK, US. Compensation shown: $175K–$275K. Imported listing (source: zerogtalent.com). Apply on the employer's site (zerogtalent.com).
Imported listing (source: zerogtalent.com) · Apply on zerogtalent.com
NEW YORK · US
$175K–$275K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from zerogtalent.com
Mirage is an AI-native video platform seeking a Research Engineer to develop agentic systems and large language models for multimodal creative tasks, particularly video. The role focuses on advancing agent capabilities, improving reasoning and control, and enabling new interactions between language models and time-based media. You'll design end-to-end agentic pipelines, fine-tune LLMs, and build evaluation frameworks for video analysis and editing.
Responsibilities
- Design and build end-to-end agentic systems for creative tasks
- Develop novel approaches for training and adapting the large language models that power these agents
- Design new objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability
- Explore multimodal reasoning and structured generation for creative control
- Run systematic experiments to evaluate and improve agent performance in real-world tasks
- Design evaluation frameworks for agentic workflows in video analysis and editing
- Analyze failure modes across the full agent loop (planning, tool use, execution) and iterate on improvements
Requirements
- BS/MS/PhD in CS, ML, or related field
- Strong track record building production ML systems or agentic pipelines
Mirage
New York · US · 54+ employees
Mirage (formerly known as Captions) is an AI company redefining video creation. It builds full-stack foundation models, the Captions app, and an API that allows users to translate natural language into high-quality, photorealistic video with features like automated captions and digital twins.
