Responsibilities

• Develop, configure, and maintain conversational chatbot flows using the Microsoft Bot Framework and various Microsoft Azure services, ensuring a smooth and engaging user experience.
• Design and implement conversational experiences based on business requirements, including dialogue flows, intents, entities, prompts, and fallback scenarios.
• Develop, integrate, and optimize Natural Language Understanding (NLU) models to improve the chatbot’s ability to understand user intent, context, and variations in conversational inputs.
• Continuously monitor and enhance NLU performance by analyzing user interactions, identifying gaps, and improving intents, entities, and conversational responses.
• Develop and maintain back-end services using Node.js, ensuring efficient, scalable, and maintainable application components that support chatbot functionality.
• Integrate chatbot solutions with internal and external systems using REST APIs, third-party services, and enterprise applications.
• Design and implement API integrations to enable the chatbot to retrieve, process, and exchange information with various systems in real time.
• Write, optimize, and maintain SQL queries for retrieving and managing data required by chatbot and back-end services.
• Work closely with business analysts, product owners, developers, and other technical stakeholders to understand requirements and translate them into effective conversational solutions.
• Participate actively in Agile development practices, including daily stand-ups, sprint planning, backlog refinement, sprint reviews, and retrospectives.
• Collaborate with cross-functional teams throughout the development lifecycle to ensure chatbot features are delivered according to business and technical requirements.
• Perform testing, troubleshooting, and debugging of chatbot functionalities, APIs, integrations, and back-end services to identify and resolve issues efficiently.
• Conduct end-to-end testing of chatbot conversations and API integrations to ensure accuracy, reliability, and a consistent user experience.
• Investigate production issues and technical defects, perform root cause analysis, and implement appropriate corrective and preventive actions.
• Monitor chatbot performance and user interactions, identifying opportunities to improve response accuracy, system performance, and overall conversational experience.
• Follow software development best practices, including version control, clean coding, documentation, testing, and code reviews.
• Contribute to technical documentation covering chatbot flows, API integrations, NLU models, configurations, and system components.
• Stay up to date with developments in Conversational AI, Microsoft Bot Framework, Azure, NLU, Node.js, and related technologies, and contribute ideas for improving the chatbot platform and development practices.