AI Application Development Engineer

Job Description :

• Develop high-performance AI applications based on Ascend NPU/NVIDIA GPU clusters; optimize LLM training and inference workflows to improve thousand-card scale resource utilization.
• Deploy and maintain AI development frameworks (e.g. PyTorch/TensorFlow).
• Implement core modules such as RAG (Retrieval-Augmented Generation) enhanced retrieval, multi-model routing scheduling, and automated Prompt optimization.
• Build high-precision OCR document parsing systems to support vertical industry scenarios (e.g., energy, mining).
• Other ad-hoc tasks or duties assigned by the division.

Job Requirements:

• Bachelor’s degree or above in Computer Science or related majors.
• Proficient in at least one programming language (Python/Go/Java); familiar with the Kubernetes ecosystem and AI development frameworks (PyTorch/TensorFlow).
• Mastery of core toolchains for intelligent computing centers: computing power scheduling platforms, storage management software, and RAG development processes.
• Familiarity with AI development tools (e.g., LangChain) or large-scale enterprise tool platforms (e.g., Alibaba PAI).
• Experience in application development and debugging for GPU servers (NVIDIA HGX/H100, Huawei Atlas).
• At least 3 years of experience in developing large-scale AI application projects.
• Strong communication and teamwork skills, able to coordinate with other departments. Possess certain technical management capabilities to formulate project plans and lead partners to complete project delivery.
• Serious and responsible work attitude, excellent learning ability, outstanding communication skills, and strong analytical and problem-solving capabilities for complex issues.
• Strong problem analysis and resolution skills, capable of quickly locating and resolving issues.
• Language Proficiency: Cantonese, English.