[Hiring] Chatbot Engineer @Redfish Recruiting

Role Description This role will lead the development of an omni-channel virtual tutor that utilizes real-time emotion detection inputs from our multi-modal engagement model in order to deliver an empathetic learning experience in several formats including text, video, and VR. The chatbot's content needs to be aligned with our pre-established learning curriculum that is tailored to a student's performance. With ambitions to scale quickly, this role has the potential to shift to a leadership role in the first couple of months. Our first students are in K-12 education; therefore, it's mission critical to ensure transparency. Job Responsibilities: Design and implement conversational interfaces for several integrations. Integrate multi-modal model data sets to inform the bot about appropriate style/tone. Work with our lead data scientist and AI engineer to integrate real-time facial emotion recognition models and near real-time student engagement. Collaborate with UX/UI designers to enhance chatbot user experience. Integrate chatbots with a proprietary LMS, Video Conferencing APP, AR/VR Solution. Continuously improve chatbot understanding and responses based on user feedback. Stay updated with the latest trends in conversational AI and machine learning. Optimize chatbot performance for speed and responsiveness. Address and rectify any issues or bugs in the chatbot's functioning. Develop self and team, helping to evolve the cognitive engineering practice and fostering a culture of collaboration, innovation, and engineering excellence. Identify improvement opportunities for existing processes, systems, and procedures, and deliver a plan for change. This is a leadership level role and will blend both deep domain and technical expertise with a passion for developing and coaching colleagues across multiple feature teams. Qualifications Proven track record of designing and implementing chatbots for various platforms. Familiarity with chatbot development tools like Dialogflow, Microsoft Bot Framework, or Rasa. Strong coding skills in languages such as Python, Node.js, or similar. Experience integrating chatbots with CRM systems, databases, and other enterprise tools. Ability to design conversation flows and optimize user interactions. Experience in training and refining chatbot models for better accuracy. Strong debugging and troubleshooting skills for real-time chatbot interactions. Excellent communication skills with a focus on end-user experience. Commitment to staying updated with the latest in chatbot technology and trends. Experience in extending chatbot architecture through backend and channel integration via REST and SOAP APIs. In-depth knowledge of NLP models and approaches to training (intents, entities) and model validation (cross validation, blind testing). Strong knowledge of Conversation Design techniques and the art of creating user-centric conversational experiences. Leadership experience of Engineering teams through line management, coaching & mentoring of developers. Strong understanding of source code repositories and tools such as Git, UCD, and JIRA and be able to assist the team with technical issues. Familiar with an enterprise environment with automated build/test/release processes, source code management (Git), and change-management (JIRA). Benefits Fully Remote Equity options Health insurance Dental insurance Paid sick time Paid time off Parental leave Vision insurance Family First Culture