• Build, iterate, and scale AI-powered features using LLMs and modern AI platforms, with a strong focus on application-level integration • Help define and drive Prokeep’s AI strategy, including where and how AI should be used across the product • Serve as an internal evangelist and subject-matter expert for AI, helping teams understand capabilities, tradeoffs, and best practices • Lead AI evaluation and testing efforts, owning not just the AI engines but also the testing and evaluation frameworks used to measure quality, reliability, and performance • Design and maintain internal tooling to support AI development, experimentation, and evaluation • Partner with Product, Engineering, and Leadership to identify high-impact opportunities where AI can improve customer workflows • Make thoughtful decisions around model selection, orchestration, prompting strategies, and cost/performance tradeoffs • Work closely with our Data Engineer to ensure the right data foundations exist to support AI features • Ensure AI systems are production-ready, observable, and scalable • Improve systems already in flight while contributing to greenfield initiatives—AI is not a silo here