Full Stack Engineer - AI Project

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.

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.

*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.