Responsibilities

• Integrate generative AI Providers.
• Combine different AI solutions and providers to create comprehensive and efficient AI systems.
• Design and implement architecture.
• Design and oversee the architecture of AI systems, ensuring scalability, reliability, and performance.
• Designing data structures and data management.
• Collect, preprocess, and analyze data to ensure high-quality inputs for AI models.
• Write surrounding code.
• Develop the necessary code to support AI models, ensuring seamless integration with existing systems and infrastructure.
• Monitor, maintain and optimize solutions.
• Continuously monitor the performance of AI products and systems, making necessary adjustments to improve accuracy and efficiency.
• Directly collaborate with multiple departments in our company.
• Work closely with engineers, product managers, and other stakeholders to identify business problems and develop AI-driven solutions.
• Create technical documentation.
• Produce comprehensive technical documentation for AI systems, including system architecture, model specifications, data flows, and testing procedures.
• Develop Quality Assurance procedures.
• Create and implement QA processes specifically tailored for AI systems, including data validation, model testing, and performance evaluation.
• Stay updated.
• Keep abreast of the latest AI technologies, trends, and best practices to ensure the company remains at the forefront of AI innovation.
• Security Awareness.
• Understanding of security best practices in AI system development and deployment.