Role Summary This role focuses on designing and scaling reusable AI-driven workflows, particularly those powered by large language models and autonomous agents. You will build foundational components and abstractions that enable multiple internal teams to rapidly develop and deploy intelligent systems. The position emphasizes system reliability, evaluation rigor, and thoughtful tradeoffs in model and tooling selection. Core Ownership Areas Develop reusable agent-based workflows to accelerate delivery across multiple projects. Define and maintain evaluation standards to ensure consistent model performance over time. Improve system reliability across key dimensions such as accuracy, latency, and robustness. Build shared APIs and platform components used broadly across engineering teams. Key Responsibilities Design and implement orchestration patterns for LLM-powered agents. Evaluate and select models, tools, and providers based on performance, cost, and reliability. Build testing framewo...