Teams at cargo.one

Design and implement backend systems and architecture for an AI-native freight OS, integrate LLMs and agents into production, ensure data consistency and reliability, write specs and acceptance criteria, build self-service tools and monitoring, and maintain high quality in generated and hand-written code while supporting users and raising squad AI fluency.

Quality-check ocean freight contracts, rates and surcharges against source documents; correct errors before customer-facing; communicate with vendor partners; find recurring error patterns and improve QA processes; use AI tools to speed QA and maintain high-quality master data.