AgenticOps Engineer

Description and Requirements AI Implementation Engineer Job Responsibilities Support AI development, service promotion, and overseas application operations for AgenticOps, including: Use Python skillsets, large language models, and other AI foundations to implement, test, deploy, and launch agents or AI capabilities related to AgenticOps. Perform operations work for AIO overseas AI applications, including code deployment, upgrades, and issue fixes. Follow DevOps standards to track and handle development work in Jira. Support service promotion activities. Provide on-demand service support. Travel as needed to support on-site interaction and delivery for business projects. Job Requirements Bachelor’s degree or above in computer science or a related field. Around three years of work experience in the AI field. Familiar with classical machine learning and deep learning algorithms, and able to proficiently apply AI algorithms to solve operations issues such as prediction, recognition, optimization, and decision-making. Familiar with AI-related technologies such as large language models, agents, and knowledge graphs. Proficient in data analysis languages and tools such as Python, Java, and SQL. Chinese communication skills are preferred. Knowledge of cutting-edge technologies in the intelligent industry is preferred. Strong communication and presentation skills, with a strong sense of responsibility and team spirit. Strong ability to work under pressure, willingness to take on challenging work, and ability to identify the best approach to handling issues. Fluent English listening, speaking, reading, and writing skills; able to use English as a working language. Strong self-learning ability, openness to innovation, and ability to use new technologies to solve difficult problems are preferred.