Design, implement, and deliver complex, cross-cutting features and systems using Ruby on Rails, React, React Native, Postgres, and REST. Lead development of product features powered by large language models (LLMs) and agentic systems, integrating intelligent automation into user workflows. Architect and scale AI-driven systems using techniques like prompt engineering, retrieval-augmented generation (RAG), and workflow orchestration. Proactively identify and resolve technical debt, improve reliability, and evolve system architecture to support scalable AI integration. Lead by example in code reviews, mentoring others, and sharing best practices for integrating and evaluating AI-enabled features. Partner closely with product managers, designers, and engineers to shape feature direction, translate ambiguous ideas into technical plans, and deliver high-quality work. Drive improvements to internal tooling, CI/CD pipelines, and observability for AI systems and model performance. Develop, maintain, and automate evals to rigorously measure and improve the reliability and reasoning quality of agentic systems.