Conversational AI Engineer
Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Conversational AI Engineer who will design, build, and optimize intelligent AI agents to enhance user interactions across all touchpoints, from chatbots to virtual assistants. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Conversational AI Engineer your key area of responsibility will be to design, build, and optimize intelligent AI agents to enhance user interactions across all touchpoints, from chatbots to virtual assistants. This role blends user experience (UX) principles with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). You'll be central to configuring and maintaining our Google Cloud Contact Center AI (CCAI) Platform, including Dialogflow CX, Agent Assist, and CCAI Insights, ensuring seamless self-service and improved live agent support through effective backend integrations and continuous optimization. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.
How you'll make an impact:
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Design, develop, and maintain complex Dialogflow CX agents, including conversational flows, intents, entities, and fulfillment logic.
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Craft clear, concise conversational scripts, optimizing for Natural Language Understanding (NLU) and robust error handling.
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Configure and manage the Google Cloud Contact Center AI (CCAI) Platform for both voice and chat.
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Set up features like call routing and Agent Assist.
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Enhance and optimize existing AI Search tools (formerly Agent Builder).
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Integrate AI solutions with diverse datasets and curated datastores (e.g., Drives, GCP Buckets, BigQuery, APIs) for efficient data ingestion, indexing, and retrieval.
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Create and enhance AI playbooks to guide interactions and automate responses, leveraging customer feedback to drive improvements.
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Connect CCAI and Dialogflow CX with critical backend systems, including Salesforce, Jira, Dynamics, and homegrown solutions, via APIs.
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Establish best practices for agent health and performance, focusing on minimizing conversation friction and ensuring high AI accuracy.
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Conduct user research and analyze interaction data (e.g., chat logs) to identify pain points and drive continuous improvement.
What you'll bring to the role:
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Proven experience with Google Dialogflow CX, Vertex AI, and Google Cloud Contact Center AI (CCAI).
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Strong understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and Large Language Models (LLMs).
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Proficiency in utilizing APIs for integrating AI components with various systems and data sources (e.g., GCP Buckets, BigQuery).
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Familiarity with tools for creating flowcharts, wireframes, and prototypes (e.g., Figma, Miro).
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Ability to interpret conversational analytics (e.g., containment rates, deflection rates).
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Hiring Range
$83,100 - $102,700 CAD
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