Role Summary

Build multi-agent systems that turn data intelligence into automated, client-facing workflows. You will design and implement agentic architectures that make measurement models, data pipelines, and media optimization tools accessible through natural interfaces. The goal: solutions that are cheap to build, cheap to run, and easy for non-technical teams to use.

Shift

9:00 PM PHT - 6:00 AM PHT

Key Responsibilities

• Design and build multi-agent systems using LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or custom)
• Implement AI orchestration use cases for 4+ clients, focusing on low external dependency scenarios
• Build agentic wrappers around existing data science models (MMM, forecasting, RBA, incrementality) so they can be queried and used conversationally
• Set up and configure Genie spaces for client data exploration and self‑service analytics
• Develop tool‑use patterns...