Stay at the forefront of industry trends regarding AI algorithms, LLM technologies, and open-source frameworks. Conduct technical research, proof-of-concept, and innovative implementations while contributing to technical documentation, solution frameworks, and internal toolkits to support team-wide technology advancement.
Build and prototype independently: Leverage AI coding tools like Claude Code, Cursor, Lovable, and Replit to rapidly develop functional prototypes and validate ideas.
Execution of Strategic Mandates: Translate directions, strategic priorities and Board mandates from the Board of Directors and executive leadership into actionable operational plans and multi-year AI roadmaps.
Design experiments and evaluate outcomes. Conduct offline evaluations, backtesting and online A/B experiments to assess model performance and business impact. Investigate data quality, feature effectiveness and evaluation bias, and use findings to guide further development.