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Tech Stack
Tools & technologiesCloudPythonShell Scripting
About the role
Key responsibilities & impact- Defining the technical vision, designing robust solutions with a primary focus on CCAI Agent Assist and Dialogflow CX
- Leading the end-to-end development of Google Contact Center AI (CCAI) initiatives
Requirements
What you’ll need- Bachelor Degree in relevant field with 6- 8 years of relevant experience
- Proficient in Python, utilizing object-oriented programming, modern type hinting, and asynchronous patterns
- Familiarity with modern Python package managers like uv, virtual environments (.venv), and pip
- Ability to navigate CLI tools, as well as general shell scripting
- Understanding of generative, goal-oriented architectures
- Writing robust system instructions, managing conversational memory, and optimizing LLM context windows for voice interactions
- Understanding the underlying mechanics of Dialogflow CX
- Deploying agent components, webhook integrations, or backend APIs using Google Cloud Functions or Cloud Run
- Utilizing gcloud for project configuration and authenticating environments via application-default credentials
- Designing and registering external APIs that the LLM can invoke
- Using utility functions to handle pagination and flatten API responses
- Creating and orchestrating automated tests and evaluating agent performance metrics
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonObject-Oriented ProgrammingAsynchronous PatternsShell ScriptingGenerative ArchitecturesAPI DesignAutomated TestingConversational Memory ManagementLLM Context OptimizationWebhook Integration
Certifications
Bachelor Degree in Relevant Field
