AI engineer

Grip provides infrastructure for enterprise creative production, enabling global brands to generate high-quality content at scale with control and consistency.

• 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

• 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

• Локация: Европейский союз