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 GenAI 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 degre...