Senior AI Engineer

Grip is changing how global brands produce content - from manual, tool-driven workflows to intelligent systems that generate high-quality visual output at scale. As a Senior AI Engineer, you build the intelligence behind that shift: LLM agents that understand what a brand looks like, retrieval systems that ground every generation in real brand knowledge, and automated pipelines that turn messy client material into structure machines can work with. The hard problem in generative AI is no longer generation. It's control, consistency, and trust — making unpredictable models behave reliably for brands that care deeply about how they show up in the world. That's the problem you'll own. What You'll Work OnLLM agents - designing focused, reliable agents that translate brand intent into precise creative directionPrompt engineering & orchestration - crafting, testing, and versioning the prompts that steer agents and generation, and building the system that assembles them - prompting as an engineering discipline, not trial and errorRetrieval & RAG - grounding generation in each brand's rules, assets, and visual language, with strict isolation between clientsEvaluation & experimentation - systematic measurement (RAGAS or similar), A/B testing, and regression gates, so quality is proven rather than assumedData extraction & OCR - pipelines that pull structure out of documents, decks, scans, and imagery; OCR and vision models for reading, understanding, and tagging whatever a client hands usAutomation - end-to-end pipelines that run without babysitting: classify, extract, propose, verify - humans review outcomes instead of doing the work by handModel training - fine-tuning LLMs and neural networks where prompting hits its ceiling, running models locally or hosted depending on what the job needsClient-facing impact - your pipelines run against real client data and real production volume, and the results are visible in everything that ships Who You AreYou build systems that make AI predictable, controllable, and production-ready — especially in visual domains. You Have:Strong experience with LLM-based systems in production (agents, RAG, orchestration)Hands-on work with evaluation frameworks and structured experimentation — quality you can prove, not claimSolid programming skills across TypeScript and Python, with experience shipping working systemsExperience training or fine-tuning models and managing their lifecycleExposure to generative image pipelines and what it takes to make their output usable (not theoretical interest — actual contact) You Think:In systems, not prompts — how components interact, fail, and scaleIn constraints — how to guide models toward predictable outputsIn data — extraction, classification, and structure as the foundation everything else stands onPragmatically — you ship working solutions and refine based on results Your Skills Are:Translating abstract creative direction into structured AI workflowsTurning messy, unstructured material into clean, reliable data pipelinesDebugging LLM and retrieval behavior across multiple layers of a pipelineCommunicating 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 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.