ai engineer

Grip shifts enterprise content production from manual, tool-driven workflows to programmable systems that generate high-quality visual output at scale.

• Architect and ship AI Controllers that encode visual logic into reusable systems;
• Translate creative direction into structured pipelines;
• 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;
• 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;
• 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 including diffusion models, conditioning, and latent space control;
• Hands-on work in ComfyUI or similar node-based pipelines;
• Solid programming skills in Python and PyTorch with experience shipping working systems;
• Experience training or fine-tuning models and managing their lifecycle;
• Practical exposure to visual tools such as Photoshop or Blender;
• Nice to have: Experience building ComfyUI-based workflows, multi-tenant architecture, and working with TypeScript, Elixir, or C#.

• No conditions specified