Senior AI Engineer

Grip is shifting enterprise content production from manual, tool-driven workflows to programmable systems that generate high-quality visual output at scale. As a Senior AI Engineer, you build the control layer behind that shift: AI Controllers, reusable templates, and workflow primitives that translate brand intent into deterministic, production-ready outputs.

This is not prompt engineering. This is designing systems that constrain, guide, and scale generative models into reliable creative production pipelines used by global brands.

Requirements

What You Will Do

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

Develop and Scale AI Workflows

• 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

Who You Are

You build systems that make AI predictable, controllable, and production-ready—especially in visual domains.

You Have:

• 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)

You Think:

• In systems, not prompts—how components interact, fail, and scale

• In constrain