• Build LLM features from ideation to production, including scaling. • Develop benchmarks to evaluate LLM performance and mitigate hallucinations. • Own the full development lifecycle, including infrastructure and front-end work around AI features. • Foster a constructive environment through code reviews, mentoring, and knowledge sharing.