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.RequirementsWhat You Will DoBuild AI-Controlled Content SystemsArchitect and ship AI Controllers that encode visual logic (composition, layout, constraints) into reusable systemsTranslate creative direction into structured pipelines (e.g., turning logo safe zones into enforceable spatial constraints)Design templates that produce consistent outputs across thousands of variationsDevelop and Scale AI WorkflowsBuild and optimize ComfyUI pipelines integrating multiple models, refiners, and control mechanismsCombine segmentation, depth maps, and latent constraints to guide generation toward production-grade outputsIterate on workflows based on output quality, failure modes, and client requirementsOwn Model Behavior and Output QualityWork hands-on with diffusion models, encoders, and latent space manipulationDefine how prompts, conditioning, and control signals interact across the pipelineEnsure outputs meet brand and visual standards—not just “good images,” but usable assetsExtend Platform CapabilitiesContribute to new node definitions and AI capabilities within Grip’s platformSpecify technical requirements for new features across Python/PyTorch systemsCollaborate with engineers and creative teams to push what’s possible in automated content generationWho You AreYou 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 pipelinesSolid programming skills (Python, PyTorch) with experience shipping working systemsExperience training or fine-tuning models and managing their lifecycleExposure to visual tools like Photoshop, Blender, or similar (not optional thinking—actual usage)You Think:In systems, not prompts—how components interact, fail, and scaleIn constraints—how to guide models toward predictable outputsIn outputs—what makes something production-ready vs. visually interestingPragmatically—you ship working solutions and refine based on resultsYour Skills Are:Translating abstract creative direction into structured AI workflowsDebugging generation pipelines across multiple control layersBalancing flexibility with control in template systemsCommunicating across engineering and creative teamsWhy 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 procedureIf 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 jobs@indg.com.INDG Grip handles and uses personal data of job applicants in line with its Recruitment Privacy Policy.Originally posted on Himalayas