Geotab is seeking Conversational AI Engineering talent to design, build, and optimize intelligent AI agents to enhance user interactions across all touchpoints, from chatbots to virtual assistants, to advance security, connect commercial vehicles to the internet, and provide web-based analytics to help customers better manage their fleets.
Requirements
- 3-5 years of experience with Google Cloud AI Applications (formerly Agent Builder)- direct experience with implementing and optimizing search experiences using this platform is critical.
- Google Cloud Skills Boost (formerly Qwiklabs) Skill Badges - Skill badges related to Dialogflow CX, Generative AI.
- Skilled in API Development and Integration - Proficiency in integrating various systems using REST APIs, gRPC, and potentially custom webhooks.
- Proficient in Programming Languages - Strong skills in Python and/or Node.js are often used for Dialogflow CX fulfillments and integrations.
- Data Management and SQL - Expertise in BigQuery, Cloud Storage, and other data services for managing and optimizing data used by AI Search and conversational agents.
- Background in conversational design, UX writing, content strategy for AI, or a related field with a strong focus on user interaction.
- AI Foundations: Strong understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and Large Language Models (LLMs)
Responsibilities
- Design, develop, and maintain complex Dialogflow CX agents, including conversational flows, intents, entities, and fulfillment logic.
- Create clear, concise conversational scripts, optimizing for Natural Language Understanding (NLU) and robust error handling.
- Configure and manage the Google Cloud Contact Center AI (CCAI) Platform for both voice and chat.
- Incorporate features like call routing and Agent Assist.
- Enhance and optimize existing AI Search tools (formerly Agent Builder).
- Integrate AI solutions with diverse datasets and curated datastores (e.g., Drives, GCP Buckets, BigQuery, APIs) for efficient data ingestion, indexing, and retrieval.
- Create and enhance AI playbooks to guide interactions and automate responses, leveraging customer feedback to drive improvements.
Other
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, HCI (Human-Computer Interaction), Interaction Design, Linguistics, Cognitive Science or a related field.
- Strong analytical and problem-solving abilities to diagnose conversational issues and design effective solutions.
- A dynamic team player with a collaborative spirit, able to work effectively with both technical and non-technical teams.
- Capacity to manage multiple projects concurrently while maintaining attention to detail and organizational excellence.
- Strong mentorship capabilities with a willingness to help elevate team members.
