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Specialized GenAI/CCAI/Dialogflow skills narrow pool but popular AI roles still attract many candidates.
Highly domain-specific CCAI, Dialogflow CX and GCP requirements limit cross-industry transferability.
Explicit 6–8 years plus mandatory Dialogflow, GCP, Python and LLM expertise increases filter strictness.
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Define technical vision and design robust solutions for Google Contact Center AI (CCAI) initiatives focusing on CCAI Agent Assist, Agentic AI, Gen AI, and Dialogflow CX.
Lead end-to-end development of conversational AI solutions using Python and Dialogflow CX, emphasizing generative agent design and prompt engineering.
Manage deployment and integration on Google Cloud Platform, conduct automated agent evaluation, and optimize agent performance metrics for voice interactions.
6-8 years of relevant experience in AI engineering or related fields.
Bachelor's degree in a relevant field.
Advanced proficiency in Python including OOP, asynchronous programming, environment management, and CLI scripting.
Strong experience with Dialogflow CX, Google Cloud Platform services (Cloud Functions, Cloud Run), and gcloud CLI.
Experienced in designing generative, goal-oriented conversational agents beyond legacy intent-based models.
Skilled in prompt engineering, context management, and integrating external APIs with LLMs for dynamic interactions.
Familiar with CI/CD pipelines, automated testing of AI agents, and optimizing real-time latency critical for voice applications.