Full Stack Developer

Full Stack Engineer

About the Role
We are seeking an experienced Full Stack Engineer to play a crucial role in the development of Ai system, our cutting-edge AI-powered agency management system. This position offers an exciting opportunity to work at the intersection of artificial intelligence, web development, and system integration, creating a solution that will revolutionize agency operations.

Key Responsibilities:

• 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.

 Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 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.

Preferred Qualifications:

• 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.