Full Stack Developer

October 22

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mobile development • chat • chatbot • realtime • software services

11 - 50

Description

• Collaborate with cross-functional teams to design, develop, and implement the Ai system, including its AI core and integration with existing tools (ClickUp, Slack, Google Workspace). • Develop and maintain both frontend and backend components of the Ai system web application, ensuring seamless user experience and robust functionality. • Implement RESTful APIs and webhooks for integration with external systems and services. • Work closely with AI/ML engineers to integrate machine learning models into the application architecture. • Design and implement efficient database schemas and data processing pipelines. • Ensure the scalability, performance, and security of the Hi Traffic system. • Participate in code reviews and contribute to technical documentation. • Implement and maintain CI/CD pipelines for automated testing and deployment. • Troubleshoot, debug, and optimize application code. • Stay updated with emerging technologies and industry best practices, recommending improvements to our technology stack and processes.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. • 5+ years of experience in full stack development, with a strong background in both frontend and backend technologies. • Proficiency in Python and JavaScript/TypeScript. • Experience with modern web frameworks and libraries, particularly React.js and FastAPI or Node.js. • Strong understanding of RESTful API design and implementation. • Familiarity with cloud platforms (preferably AWS or Google Cloud Platform) and containerization technologies (Docker, Kubernetes). • Experience with database systems, both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB). • Knowledge of version control systems (Git) and CI/CD practices. • Understanding of security best practices and data protection regulations. • Excellent problem-solving skills and attention to detail. • Strong communication skills and ability to work effectively in a team environment. • Experience with AI/ML technologies, particularly TensorFlow or PyTorch. • Familiarity with natural language processing (NLP) concepts and libraries. • Experience with microservices architecture and event-driven systems. • Knowledge of data processing technologies like Apache Spark or Apache Flink. • Experience with Agile development methodologies. • Contributions to open-source projects or personal tech blog.