Full Stack Developer
4 days ago
Job Title: Full Stack Developer
Location: Hyderabad
Job Type: Onsite
Experience - 5 Years
Key Responsibilities:
Front-End Development:
Develop and maintain responsive, user-friendly web applications using
Build dynamic user interfaces for chatbots, ensuring an intuitive experience across devices.
Back-End Development:
Implement server-side logic in Python (using frameworks like Django or Flask).
Develop and manage API integrations for chatbot functionalities (such as NLP engines or databases).
Chatbot Architecture:
Design and implement chatbot features and functionalities, focusing on conversational UI/UX.
Integrate AI/NLP tools to enhance chatbot capabilities and improve user interactions.
Database Management:
Design, implement, and optimize database systems for storing and retrieving chatbot data.
Work with both Chatbot Architecture MongoDB).
Collaboration:
Work closely with cross-functional teams (UI/UX, product management) to ensure project success.
Troubleshoot, debug, and optimize application performance and functionality.
Deployment & Maintenance:
Deploy and maintain applications in cloud environments (AWS, Azure).
Regularly update and enhance the chatbot system based on user feedback and evolving requirements.
Required Skills & Qualifications:
Front-End:
Strong proficiency in and its ecosystem (e.g., Redux, React Router).
Experience with HTML5, CSS3, and responsive web design.
Back-End:
Expertise in Python, particularly with web frameworks such as Django or Flask.
Solid understanding of RESTful API development and integration.
Chatbot Development:
Experience working with chatbot platforms or AI tools (e.g., Dialogflow, Rasa, or custom NLP solutions).
Database Management:
Experience with both SQL and NoSQL databases.
Version Control:
Proficiency with Git and related platforms (e.g., GitHub, GitLab).
Cloud/DevOps:
Familiarity with cloud services (AWS, Azure) and basic DevOps practices (CI/CD).
Preferred Skills:
Experience with NLP (Natural Language Processing) and AI chatbot integrations.
Knowledge of Docker and containerized application deployment.
Familiarity with machine learning frameworks or libraries.
Knowledge of GraphQL or other data query languages.
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