Conversational Engineer

Yesterday

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Logo of 66degrees

66degrees

Google Cloud β€’ Cloud Adoption β€’ Cloud Security β€’ Google Cloud Cost Optimization β€’ Cloud-Native Application Development

Description

β€’ Overview of 66degrees β€’ 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. β€’ At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. β€’ As the ideal Conversational Engineer, you are someone who can do a deep technical dive and communicate effectively with others. Our Conversational Engineers love to focus on the user experience and build complex virtual agents for our clients. β€’ Responsibilities β€’ Lead discovery workshops to capture business requirements, success criteria, and constraints to understand and prioritize, document virtual agent requirements, build virtual agents that are conversational, friendly, engaging and efficient β€’ Be able to present the conversational agents in Dialogflow CX to customers and work through QA issues, feedback, and troubleshooting β€’ Creatively solve problems using all components of Dialogflow CX - including generators, data stores, and generative fallback β€’ Work closely with product, development, and engineering teams to validate design solutions, and participate in iterative product enhancement cycles β€’ Create new concepts, wireframes, mockups, and prototypes based on internal requirements and creative briefs β€’ Establish visual and interactive standards documentation, and work with the development team to ensure that designs fit the technical specifications of the product or application β€’ Cultivate an understanding of industry trends and regularly use this information

Requirements

β€’ 2+ years experience in building virtual agent solutions (preferably Dialogflow CX) β€’ Experience bringing a virtual agent to market (or working on an already-deployed virtual agent), either externally for customers or internally for company associates β€’ Intimate knowledge of NLP, NLU, and the complexities of creating and maintaining strong models, intents, and entities β€’ Strong understanding of the importance of data to the overall virtual agent continuous improvement lifecycle β€’ Experience working with programming languages like Java or Python to pass data between source systems for use in virtual agent flows β€’ Prior experience with user dashboards or analytical applications is a plus (Looker, Tableau, Power BI, etc.) β€’ Excellent communication and interpersonal skills, β€’ Up-to-date knowledge of web and mobile trends and technology, and thorough understanding of interface design and usability standards β€’ Strong conceptual skills and proven ability to create rapid wireframes/mockups and prototypes

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