Teams at RedpineAI

Design and build cloud infrastructure, data platforms, and APIs that deliver licensed, high-quality data to AI models and agents in real time. Own architecture, data access abstractions, retrieval, latency, reliability, performance, observability, and global scalability for a new AI data platform.

Own Redpine’s knowledge graph end to end, including ontology and schema design, entity resolution, provenance, confidence and conflict handling, source-change propagation, and graph-powered retrieval. Build production data pipelines from multimodal sources and enable multi-hop, graph-and-vector retrieval for AI agents. This high-ownership role requires strong Python, direct knowledge graph experience, and practical expertise with retrieval and RAG systems.

Develop and scale AI/ML solutions for data quality assessment, automated labeling verification, data processing, matching, and evaluation. Build scalable pipelines and deploy models using modern serving, containerization, and orchestration tools. Collaborate with product teams, customers, and stakeholders to define data requirements and marketplace features, while researching state-of-the-art techniques for improving licensed AI training and inference data.