Full-Stack AI Developer

This role of Full-Stack AI Developer requires a comprehensive skill set spanning both front-end and back-end development, combined with expertise in artificial intelligence technologies. Candidates should be proficient in programming languages commonly used in AI development such as Python, and familiar with front-end frameworks like React or Angular, as well as back-end technologies such as Node.js, Django, or Flask. Experience with AI and machine learning frameworks including TensorFlow, PyTorch, or scikit-learn is essential. The developer should have a strong understanding of data processing, model training, and deployment of AI models into production environments. Knowledge of cloud platforms like AWS, Azure, or Google Cloud for scalable AI solutions is advantageous. Familiarity with containerization tools such as Docker and orchestration platforms like Kubernetes supports efficient deployment workflows. The role demands skills in API development and integration to enable communication between AI components and user interfaces. Understanding of software development methodologies, version control systems like Git, and continuous integration/continuous deployment (CI/CD) pipelines is important for maintaining code quality and rapid iteration. While specific experience and education levels are not detailed, the position typically requires a solid foundation in computer science or related fields, coupled with practical experience in full-stack development and AI projects. Strong problem-solving abilities, adaptability, and collaboration skills are also critical to successfully deliver AI-driven applications end-to-end.