| Job Description | - 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 fine-tuning AI models.
Key Responsibilities - Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses.
- Leverage LLMs and fine-tuning 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 retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date 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 - Bachelor's or master's degree in computer science, Computer Information Systems, AI, or a related field.
- Experience developing AI-powered 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 problem-solving skills and ability to work with both technical and non-technical 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 RAG-based AI approaches to improve knowledge retrieval in conversations.
- Experience deploying infrastructure as code using Terraform.
|
