IBM WatsonX Orchestrate

Description: Key Responsibilities • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems. • Applying clean coding skills and best practices. • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfill intents. • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot. • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat). • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications. • Integrate chatbot solutions with multiple platforms. • Enhancing user effectiveness of the conversational agents with the help of advanced technologies. • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities. • Tuning and enhancing Speech to Text models. Required Qualifications • 5+ years software delivery experience • 3+ years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai) • 3+ years training and improving intent recognition by curating the appropriate training data sets • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices) • 1+ years of experience in CICD, Git, unit-testing and source code management • 1+ years of knowledge of cloud development and deployment principles • 1+ years of Backend (server-side) development experience in Java, Node.js, or Python • 1+ years of Multi-language experience in Javascript/Typescript • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements Preferred Qualifications • Prior work with IBM Watson Speech-to-Text, Watson Discovery, or similar voice processing and information retrieval technologies. • Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement • Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents Education Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience required