Senior AI Engineer - vacante remota

La empresa INDG busca cubrir el puesto de Senior AI Engineer: es un puesto senior, así que la empresa espera que las decisiones las tome usted. La vacante pertenece al área de IT y programación y es totalmente remota. La empresa no pone ninguna restricción sobre el lugar de residencia, así que usted puede postular desde donde vive.

Las herramientas principales que nombra el anuncio son: Node.js, Python, Machine Learning. El CV debería mostrar ejemplos concretos justo de esas capacidades.

La empresa no publicó ninguna cifra, eso se aclara en la entrevista. Sobre el horario, el anuncio no pone ninguna condición.

Esta vacante pasó una revisión automática: los anuncios que exigen un permiso de trabajo extranjero, patrocinio de visa, una nacionalidad concreta o residencia en un país determinado no entran en la lista.

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 . INDG Grip handles and uses personal data of job applicants in line with its Recruitment Privacy Policy . Originally posted on Himalayas