Agentic AI Engineer: Multimodal Video & LLMs

AI Chopping Block; New York (NY); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical

Dental/Vision

401K

Commuter Benefits

Catered Lunch

Dinner Stipend

Grubhub

Wellness Perks

Offsites

PTO

Job summary

Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You will develop new approaches for building and extending agentic systems that understand and operate over complex data, particularly video.

This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.

Qualifications

• BS/MS/PhD in CS, ML, or related field.
• Strong track record building production ML systems or agentic pipelines.
• Deep understanding of transformers and modern LLM techniques.
• Experience with fine-tuning, alignment, or post-training methods.
• Comfort owning the full stack, from model-level experiments to deployed agent systems.
• Strong experimental rigor and good taste for what makes agents actually work in practice.

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.

Skills

ML systems

Transformers

Fine-tuning

Full-stack ownership

Experimental rigor

Agentic pipelines

Education

Bachelor's/Master's/PhD in CS/ML or related

Job description

Mirage is seeking an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You will develop new approaches for building and extending agentic systems that understand and operate over complex data, particularly video.

This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media.