Google CX Developer

Data Scientists design and implement data analysis processes to derive actionable insights. Duties include building statistical models, analyzing large datasets, and presenting findings to stakeholders. You will collaborate with other data professionals to solve complex problems and improve business outcomes. Proficiency in data science tools and techniques is essential.

List of Skills

Python

• Python Programming (Advanced): SCRAPI is a Python-based API. You must be proficient in Python, utilizing object-oriented programming, modern type hinting, and asynchronous patterns.

• Environment & Dependency Management: Familiarity with modern Python package managers like uv, virtual environments (.venv), and pip.

• Command Line Interface (CLI) Proficiency: Ability to navigate CLI tools, as well as general shell scripting

Conversational AI / Agent Architecture

• Generative Agent Design: Shifting from legacy intent-based state machines to generative, goal-oriented architectures (understanding Apps, Agents, Sub-agents, and Sessions within CX Agent Studio).

• Prompt Engineering & Context Management: Writing robust system instructions, managing conversational memory, and optimizing LLM context windows for voice interactions.