Python engineer

Job Description: Full Stack Engineer (Python, Saelor Framework, AI EC System)

Position Overview:
We are seeking a highly skilled and motivated Full Stack Engineer who specializes in Python and has a strong interest in working with the Saelor Framework on an AI-based E-commerce (EC) system. As a Full Stack Engineer, you will play a crucial role in the development, implementation, and maintenance of our cutting-edge AI EC platform. Your expertise in Python and experience with the Saelor Framework will be instrumental in creating scalable and efficient solutions for our customers.

Responsibilities:
1. Collaborate with cross-functional teams, including product managers, designers, and data scientists, to understand requirements and translate them into technical specifications.
2. Design and develop robust and scalable backend systems using Python, leveraging the Saelor Framework.
3. Implement microservices for the AI EC system, ensuring optimal performance and high availability.
4. Develop user-friendly frontend interfaces using modern web technologies such as HTML, CSS, and JavaScript, ensuring a seamless user experience.
5. Implement responsive and mobile-friendly designs to cater to a wide range of devices and platforms.
6. Monitor and optimize system performance, scalability, and security, employing best practices and industry standards.

Qualifications:
1. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
2. Strong proficiency in Python programming language, with a focus on web development.
3. Proven experience as a Full Stack Engineer, preferably working on AI-driven projects.
4. In-depth knowledge and hands-on experience with the Saelor Framework, including its components, modules, and deployment practices.
5. Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
6. Excellent communication skills, both verbal and written, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:
1. Prior experience with AI-driven E-commerce systems or recommendation engines.
2. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
3. Knowledge of DevOps practices and tools for CI/CD and containerization (e.g., Docker, Kubernetes).
4. Understanding of software development methodologies, such as Agile or Scrum.