Cognitive Engineer

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Cognitive Engineer

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Job Info

• Job Identification16934
• Posting Date07/09/2026, 05:07 AM
• Job RoleAI Engineer-Machine Learning
• Experience (In Years)3-6

Job 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, 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

• • 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, flatten API responses, and convert complex Protocol Buffers (Protos) into usable data.

• Testing, Evaluation & CI/CD

• • Automated Agent Evaluation (Evals): Creating and orchestrating "Golden tests" and automated simulation runs using SCRAPI’s evals module.

• • Performance Metrics Tracking: Extracting, analyzing, and optimizing agent performance metrics (like real-time latency), which is highly critical for voice voice interactions.

• • Agentic IDE workflows: Using LLM-assisted development tools (like Gemini CLI or Claude Code) as integrated into the SCRAPI workflow to speed up agent scaffolding and debugging.

Qualifications

• Bachelor Degree in relevant field with 4 years of relevant experience

Required Skills

• APM Tools (Application Performance Management)
• Advanced Excel
• CRM Systems
• Conflict Management
• Displaying Visionary Thinking
• Emerging Technologies
• Emotional Intelligence Training
• Facilitating Client Engagement
• Financial Tools
• Microsoft Power BI Software
• Prosci ADKAR
• Risk Assessment Tools
• Stakeholder Engagement
• Strategic Growth
• Strategic Planning Models

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