Cognitive Engineer

This pivotal role will be responsible for defining the technical vision, designing robust solutions with a primary focus on CCAI Agent Assist and Dialogflow CX. This pivotal role will be responsible for defining the technical vision, designing robust solutions, and leading the end-to-end development of Google Contact Center AI (CCAI) initiatives, with a primary focus on CCAI Agent Assist, Agentic AI, Gen AI and Dialogflow CX.

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.

• Dialogflow CX Fundamentals: Understanding the underlying mechanics of Dialogflow CX,

Google Cloud Platform(GCP)

• Cloud Compute & Serverless: Deploying agent components, webhook integrations, or backend APIs using Google Cloud Functions or Cloud Run.

• gcloud CLI Mastery: Utilizing gcloud for project configuration and authenticating environments via application-default credentials.

API Integration & Tool Building