JobHunter AI
Senior AI Engineer
INDG
Location
Remote
Work Mode
Remote
Type
Full-Time
Sector
Education
First Seen
2026-07-17
Source
himalayas
Remote Education ERP Data Communications Deadline Unclear Remote
Job Description
<p class="MsoNormal" style="text-align:start;">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.</p><p class="MsoNormal" style="text-align:start;">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.</p><h3>Requirements</h3><h3>What You Will Do</h3><h3>Build AI-Controlled Content Systems</h3><ul><li><p>Architect and ship AI Controllers that encode visual logic (composition, layout, constraints) into reusable systems</p></li><li><p>Translate creative direction into structured pipelines (e.g., turning logo safe zones into enforceable spatial constraints)</p></li><li><p>Design templates that produce consistent outputs across thousands of variations</p></li></ul><h3>Develop and Scale AI Workflows</h3><ul><li><p>Build and optimize ComfyUI pipelines integrating multiple models, refiners, and control mechanisms</p></li><li><p>Combine segmentation, depth maps, and latent constraints to guide generation toward production-grade outputs</p></li><li><p>Iterate on workflows based on output quality, failure modes, and client requirements</p></li></ul><h3>Own Model Behavior and Output Quality</h3><ul><li><p>Work hands-on with diffusion models, encoders, and latent space manipulation</p></li><li><p>Define how prompts, conditioning, and control signals interact across the pipeline</p></li><li><p>Ensure outputs meet brand and visual standards—not just “good images,” but usable assets</p></li></ul><h3>Extend Platform Capabilities</h3><ul><li><p>Contribute to new node definitions and AI capabilities within Grip’s platform</p></li><li><p>Specify technical requirements for new features across Python/PyTorch systems</p></li><li><p>Collaborate with engineers and creative teams to push what’s possible in automated content generation</p></li></ul><h3>Who You Are</h3><p class="MsoNormal" style="text-align:start;">You build systems that make AI predictable, controllable, and production-ready—especially in visual domains.</p><h3>You Have:</h3><ul><li><p>Strong experience with generative AI systems (diffusion models, conditioning, latent space control)</p></li><li><p>Hands-on work in ComfyUI or similar node-based pipelines</p></li><li><p>Solid programming skills (Python, PyTorch) with experience shipping working systems</p></li><li><p>Experience training or fine-tuning models and managing their lifecycle</p></li><li><p>Exposure to visual tools like Photoshop, Blender, or similar (not optional thinking—actual usage)</p></li></ul><h3>You Think:</h3><ul><li><p>In systems, not prompts—how components interact, fail, and scale</p></li><li><p>In constrain