Data Science AI Full Stack Developer

Qualifications
• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• 5+ years of experience as a Full Stack Developer or in a similar role
• Proficiency in front-end technologies (HTML, CSS, JavaScript, Angular, and Vue.js)
• Proficiency in back-end technologies like Java, PHP (Laravel), Microservices, and Spring
• Preferably have experience with mobile app development
• Hands-on experience integrating chatbot APIs (e.g., Dialogflow, Microsoft Bot Framework/Dynamics 365, Genesys, or similar)
• Familiarity with cloud platforms (AWS or Azure) for hosting chatbot services
• Knowledge of database systems (SQL, NoSQL) and ORM frameworks
• Excellent problem-solving skills and attention to detail
• Strong communication and teamwork abilities
• Ability to work in a fast-paced, dynamic environment

JOB SUMMARY:

Full Stack Developer to lead the integration of our chatbot solutions into web and mobile platforms. The ideal candidate will have a strong background in software development both in frontend and backend.

MAJOR RESPONSIBILITIES:
• Chatbot Integration: Implement and optimize chatbot functionality across web and mobile platforms using industry-standard frameworks, APIs, and libraries.
• Backend Development: Build and maintain scalable server-side applications and RESTful APIs to support chatbot features, including data handling, authentication, and messaging services.
• Frontend Development: Develop responsive and interactive user interfaces that seamlessly embed chatbot components in web and mobile applications.
• System Architecture: Design and implement robust, scalable, and secure architecture to handle high user traffic and complex data flows.
• Collaboration: Work closely with UX/UI designers, data scientists, and AI teams to align chatbot features with business goals and user needs.
• Third-Party Integration: Integrate chatbot solutions with CRM systems, analytics tools, and other third-party services as required.
• Testing and Debugging: Conduct rigorous testing to identify and resolve performance issues, bugs, and inconsistencies in chatbot interactions.
• Continuous Improvement: Monitor chatbot performance metrics and user feedback to refine and enhance integration.
• Documentation: Maintain comprehensive documentation of code, system design, and processes to support team collaboration and project scalability.
• Presentation: Prepare and deliver comprehensive presentations to stakeholders.
• Security: Ensure all chatbot integrations comply with security best practices, including data protection and privacy standards.