Key Responsibilities:
• Design, build, and operate production AI features: RAG pipelines, LLM-driven recommendations, conversational agents, or agentic workflow automation. • Build the shared AI platform layer: retrieval infrastructure, eval frameworks, model monitoring, guardrails, and observability. • Write LLM applications and integrations with marketing platforms, BI tools, or customer-facing product surfaces. • Evaluate model and feature quality using structured eval frameworks; iterate on prompts, retrieval strategies, and model selection using data. • Use AI-driven SDLC tooling such as Claude Code as a daily practice for both AI and non-AI code. • Coordinate with the Personalization team to align Gen AI product features with existing ML personalization signals. • Document AI system design decisions, evaluation results, and operational lessons in the shared knowledge base.
Requirements: • Bachelor’s degree in Computer Science or equivalent professional experience • 7+ years...