About
Grip provides infrastructure for enterprise creative production, enabling global brands to generate high-quality content at scale with control and consistency.
Responsibilities
•Design focused, reliable LLM agents that translate brand intent into precise creative direction
•Engineer, test, and version prompts and orchestration systems for agents and content generation
•Build retrieval and RAG systems grounded in each brand's rules, assets, and visual language, with strict client isolation
•Measure and improve quality through evaluation frameworks, A/B testing, and regression gates
•Develop data extraction and OCR pipelines for documents, presentations, scans, and imagery
•Build end-to-end automation pipelines for classification, extraction, proposal, and verification
•Fine-tune LLMs and neural networks where prompting reaches its limits, and run models locally or hosted as needed
•Deliver pipelines that process real client data and production volumes
•Define how AI is used in real-world creative systems and turn unpredictable models into dependable pipelines
Requirements
•Strong experience with production LLM systems, including agents, RAG, and orchestration
•Hands-on experience with evaluation frameworks and structured experimentation
•Solid programming skills in TypeScript and Python, with experience shipping working systems
•Experience training or fine-tuning models and managing their lifecycle
•Experience with generative image pipelines and making their output usable
•Ability to translate creative direction into structured AI workflows
•Ability to turn unstructured material into reliable data pipelines
•Ability to debug LLM and retrieval behavior across multiple pipeline layers
•Ability to communicate across engineering and creative teams
•Think in systems, constraints, and data; work pragmatically and refine solutions based on results
Conditions
•Location: European Union
•Remote work
