Write product or system development code using Java, Python, Go, or C++ to build and optimize high-throughput backend services, storage schemas, APIs, and data pipelines for massive-scale GenAI systems. Collaborate with peers and stakeholders through technical design and code reviews to ensure best practices amongst available technologies, focusing on style guidelines, checking code in, accuracy, testability, and efficiency.
Contribute to existing technical documentation or educational developer content and adapt engineering specs based on system/program updates, prompt engineering variations, and internal and external user feedback loops. Triage issues and debug/track/resolve production anomalies by analyzing the sources of issues and their impact on hardware, network, or service operations, system latency, and output quality. Implement solutions in specialized ML areas utilizing ML infrastructure to contribute to model optimization, data processing, and Tier 2 on-call reliability.
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