About the role
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 constraints—how to guide models toward predictable outputs
In outputs—what makes something production-ready vs. visually interesting
Pragmatically—you ship working solutions and refine based on results
Your Skills Are:
Translating abstract creative direction into structured AI workflows
Debugging generation pipelines across multiple control layers
Balancing flexibility with control in template systems
Communicating across engineering and creative teams
Why Join Grip?
The Platform Position.
Grip is infrastructure for enterprise creative production—powering global brands to generate content at scale with control and consistency.
The Market Timing.
AI-generated content is moving from experimentation to production. The challenge is no longer generation—it’s control, reliability, and scale.
The Technical Moat.
You’ll work with ComfyUI-based workflows, multi-tenant architecture, and a stack spanning TypeScript, Python, Elixir, and C#—built for production, not demos.
The Work.
You will define how AI is actually used in real-world creative systems—turning unpredictable models into dependable pipelines.
The procedure
If you’re ready to bring your powers to a role where you can make a difference, we want to hear from you. Send your resume and portfolio in English via the link provided. If you have questions, contact our Recruitment Department at [email protected].
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Originally posted on Himalayas