You will build and maintain data pipelines to analyze campaign performance and audience behavior while developing models for audience profiling and content analysis. Additionally, you will prototype LLM-based agents and communicate actionable insights to product, sales, and client teams.
You will design and maintain high-throughput backend services using Golang to power neuro-contextual advertising at scale. You will also collaborate with AI and data teams to integrate machine learning models and LLM capabilities into production systems.
Own and develop core components of the Liz Agent platform, including its runtime, context management, event streaming, integrations, and agent capabilities. Establish scalable architecture and deployment standards while improving reliability, observability, security, and quality, and provide technical leadership across teams.
Deploy, maintain, and optimize production machine learning models and the infrastructure supporting reliable, low-latency serving. Build data and automation pipelines, implement model observability, improve CI/CD and reproducibility, optimize performance and costs, and collaborate with Data, Platform, and Backend teams.
You will build and maintain data pipelines to analyze campaign performance and audience behavior while developing analytical models for content and campaign planning. Additionally, you will prototype LLM-based agents and communicate actionable insights to product, sales, and client teams.
