Description
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.

Responsibilities
Python

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

• Workplace & Dependency Management: Familiarity with modern Python package managers like uv, virtual settings (.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

• Tool Calling / Function Calling: Designing and registering external APIs ("Tools") that the LLM can invoke to retrieve data, execute backend tasks, or interact with external services.

• Data Handling & Payload Parsing: Using utility functions to handle pagination

📌 Cognitive Engineer Noida
🏢 EXL
📍 Noida