Design, build, and evolve critical platform components such as API services, workflow engines, multi-agent orchestration systems, RAG infrastructure, and intelligent memory systems.
Own major subsystems within SupplyOS, including architecture, implementation, testing, and long-term maintainability.
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Lead the execution of client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design analytical approaches and solution architectures using our low-code data science studio, visual ETL platform, and enterprise lakehouse (with change-data-capture capabilities).
Write Python to extend, integrate, or bridge these platforms — custom transformations, model logic, APIs, automation, and anything the visual tools can't handle out of the box.
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