Note: The job is a remote job and is open to candidates in USA. Dice is seeking Conversational AI Engineers for mid-level and lead positions. The role focuses on architecting and implementing enterprise conversational AI, agentic workflows, generative AI, RAG architectures, and scalable chatbot solutions using Google Cloud technologies.
Responsibilities
- Architect and lead end-to-end Conversational AI solutions utilizing Google CXAS (Customer experience AI Suite) studios and Dialogflow CX for enterprise contact center automation
- Design and implement agentic workflows and multi-agent orchestration models to process complex multi-step user inquiries with autonomous planning and execution
- Integrate generative AI, RAG architectures, and custom tool extensions using Vertex AI and Google Cloud services to enhance conversational precision and context preservation
- Establish AI governance, prompt engineering standards, and fallback safety guardrails for production agentic deployment
Skills
- Hands-on experience with Dialog flow CX/ES and chatbot development
- Skills in Python, JavaScript, or similar languages for custom webhook and LLM integration
- Experience incorporating LLMs to enhance bot responses and improve user engagement
- Familiarity with deploying Dialogflow bots across multiple platforms (web, mobile, messaging apps)
- Knowledge of Google Cloud Platform (Google Cloud Platform) for deploying scalable bots
Benefits
- W2 only
- Remote
- 12+ Months
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