Generative AI Engineer (Creative / Video Production)

Role Overview

Seeking a hands-on Generative AI Engineer to build and optimize AI-driven workflows for visual storytelling and production. This role sits at the intersection of engineering and creative technology, focused on applying and adapting state-of-the-art AI models (not building from scratch) to real-world production use cases.

What This Role Is

• Hands-on, builder-focused role (not PM/BA)
• Mix of engineering + creative problem solving
• Heavy focus on experimentation, prototyping, and iteration

What This Role Is Not

• Not a pure ML research role
• Not building models from scratch
• Not a backend/platform engineering role

Must Haves

• Strong hands-on experience with ComfyUI (building workflows, custom nodes, debugging)
• Python proficiency for scripting, automation, and tool customization
• Experience working with generative AI models for image/video
• Hands-on experience with model fine-tuning (LoRA training required)
• Ability to debug, modify, and extend existing AI tools and open-source code
• Experience working in creative, media, VFX, or production environments
• Strong communication skills – able to explain technical concepts to non-technical stakeholders and executives
• Self-sufficient – able to operate in ambiguous, fast-moving environments without handholding

Nice to Have

• Experience with Unreal Engine or Unity
• Background in VFX, technical art, or digital content creation tools (Nuke, Photoshop, etc.)
• Familiarity with production pipelines in film/TV
• Exposure to AI video generation workflows and tools

Key Responsibilities

• Build and optimize ComfyUI workflows, custom nodes, and AI pipelines for image/video generation
• Develop rapid prototypes and demos using existing AI models and tools
• Fine-tune models (LoRA) to improve quality, control, and consistency of outputs
• Evaluate emerging AI tools, models, and APIs for production use
• Collaborate with creative teams, production stakeholders, and engineers to deliver solutions
• Translate ambiguous creative ideas into practical, technical implementations
• Document workflows, best practices, and findings for broader team adoption
• Present work, insights, and prototypes to senior leadership and stakeholders