Teams at AgZen

Build and maintain full-stack dealer-facing applications for agricultural sprayers and a cloud data portal. Design scalable, high-performance user interfaces and APIs integrated with field units, develop edge-computing systems, collaborate across hardware and software teams, and test solutions in simulated and real agricultural environments. The role includes customer exposure and ownership of systems supporting unit uptime and optimized chemical usage.

Own cloud-native MLOps infrastructure for multimodal sensor data ingestion, processing, labeling, validation, model traceability, deployment gates, monitoring, drift detection, and diagnostics. Partner with data scientists, ML engineers, and stakeholders to ensure reliable pipelines, fresh features, robust model performance, and effective post-deployment metrics. Build visualization and support tools that help technical and nontechnical users understand perception and recommendation systems.

Design, build, and maintain infrastructure, internal tools, and platforms supporting computer vision systems deployed on agricultural sprayers. Scale distributed edge systems, connect firmware, machine learning, and user interfaces, manage cloud and bare-metal infrastructure, and test solutions in hardware-equipped environments.