Teams at Kayzen

Build and deploy production-grade LLM capabilities for the Kayzen Console. Responsibilities include developing AI-backed APIs and full-stack features, implementing RAG, embeddings, agents, and tool calling, and establishing evaluation, monitoring, observability, and feedback systems. The role optimizes quality, latency, reliability, and cost; troubleshoots production issues; collaborates with Product, ML, and Engineering; and turns prototypes into maintainable AI products.

Design, improve, and deploy large-scale ML models for real-time ad-tech applications; explore data sources, research solutions, run A/B tests, and collaborate with engineering to productionize models and monitoring.

The AI Platform Engineer will design AI frameworks and tools, enable AI feature integration, create reusable components, and ensure best practices for AI usage across teams.