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 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]](mailto:[email protected]). [INDG](https://himalayas.app/companies/indg) Grip handles and uses personal data of job applicants in line with its **[Recruitment Privacy Policy](https://jobs.indg.com/recruitment-privacy-policy)**. Originally posted on [Himalayas](https://himalayas.app)