We are seeking a Conversational AI Engineer to design implement and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP).
This role will work closely with business stakeholders to understand user needs analyze AI interactions and develop intelligent responsive chatbot experiences.
The ideal candidate has experience with Dialogflow CX Vertex AI BigQuery and Looker Studio as well as a deep understanding of LLMs (Large Language Models) prompt engineering and finetuning AI models.
Key Responsibilities
Develop and optimize a Generative AIpowered virtual assistant to provide accurate dynamic and contextaware responses.
Leverage LLMs and finetuning techniques within Vertex AI for advanced conversational capabilities.
Implement and refine conversational experiences in Dialogflow CX incorporating Playbooks and Tools for structured interactions.
Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality.
Create guided conversational flows and prompt engineering strategies to optimize AI responses.
Enhance AI reasoning and retrievalaugmented generation (RAG) techniques to improve the agents ability to pull in relevant uptodate information.
Integrate Google Cloud Functions for seamless backend connectivity and automation.
Work with stakeholders to ensure AI solutions align with business goals and compliance requirements.
Monitor and iterate on AI model performance implementing continual improvements based on user feedback and analytics.
Required Qualifications
Bachelors or masters degree in computer science Computer Information Systems AI or a related field.
Experience developing AIpowered chatbots or virtual assistants preferably using Dialogflow CX and Vertex AI.
Strong understanding of Generative AI LLMs NLP and prompt engineering techniques.
Proficiency in Google Cloud Services including Vertex AI BigQuery Looker Studio and Cloud Functions.
Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development.
Experience analyzing AI performance metrics and improving model accuracy.
Ability to translate business needs into effective Generative AI solutions.
Strong problemsolving skills and ability to work with both technical and nontechnical stakeholders.
Preferred Qualifications
Familiarity with APIs cloud security best practices and AI ethics.
Proficiency in Python or JavaScript for AI model integration and automation.
Experience with RAGbased AI approaches to improve knowledge retrieval in conversations.
Experience deploying infrastructure as code using Terraform.
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