Build AI-Controlled Content Systems
Architect and ship AI Controllers that encode visual logic (composition, layout, constraints) into reusable systems
Translate creative direction into structured pipelines (e.g., turning logo safe zones into enforceable spatial constraints)
Design templates that produce consistent outputs across thousands of variations
Build and optimize ComfyUI pipelines integrating multiple models, refiners, and control mechanisms
Combine segmentation, depth maps, and latent constraints to guide generation toward production-grade outputs
Iterate on workflows based on output quality, failure modes, and client requirements
Own Model Behavior and Output Quality
Work hands-on with diffusion models, encoders, and latent space manipulation
Define how prompts, conditioning, and control signals interact across the pipeline
Ensure outputs meet brand and visual standards—not just 'good images,' but usable assets
Extend Platform Capabilities
Contribute to new node definitions and AI capabilities within Grip’s platform
Specify technical requirements for new features across Python/PyTorch systems
Collaborate with engineers and creative teams to push what’s possible in automated content generation

Strong experience with generative AI systems (diffusion models, conditioning, latent space control)
Hands-on work in ComfyUI or similar node-based pipelines
Solid programming skills (Python, PyTorch) with experience shipping working systems
Experience training or fine-tuning models and managing their lifecycle
Exposure to visual tools like Photoshop, Blender, or similar (not optional thinking—actual usage)

Senior AI Engineer

Key skills