Senior AI Systems Engineer / AI Infrastructure Engineer (over $60K)

Job Duties:

• Assist in AI, Generative AI, and IT project implementation.

• Evaluate and deploy AI models, including Large Language Models (LLMs).

• Install, configure, test, and troubleshoot AI platforms and related software.

• Support AI infrastructure such as servers, GPUs, storage, and networking.

• Design and implement AI solutions, including RAG, vector databases, knowledge bases, and AI applications.

• Conduct performance testing, benchmarking, and optimization of AI systems.

• Work with users, vendors, contractors, and internal IT teams on project delivery.

• Prepare technical documents, reports, specifications, and evaluation reports.

• Provide technical support for AI platforms, models, and applications.

• Assist in AI security, governance, and risk assessment activities.

• Keep up to date with the latest AI technologies and industry trends.

• Perform other AI and IT-related duties as assigned.

• Provide on-call support and work outside office hours when required.
  

Job Requirements：

Essential Requirements

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, or related disciplines.

• Minimum 4 years of IT experience, including at least 2 years of experience in AI, Machine Learning, Generative AI, or related technologies.

• Hands-on experience in deploying, integrating, or supporting AI/LLM solutions.

• Good understanding of LLM technologies, model serving, prompt engineering, and AI system architecture.

• Experience with Linux, container technologies (e.g. Docker/Kubernetes), and scripting/programming languages such as Python.

• Knowledge of AI infrastructure, including GPU, CPU, storage, networking, and performance optimization.

• Experience integrating systems through APIs.

• Strong analytical, troubleshooting, and problem-solving skills.

• Experience preparing technical documentation and project reports.

• Good communication skills in both English and Chinese.

Preferred Qualifications

• Experience deploying open-source LLMs or Generative AI solutions in on-premises environments.

• Knowledge of RAG, vector databases, embedding models, AI agents, and knowledge management solutions.

• Experience in AI model optimization, quantization, model serving, or distributed inference.

• Experience in AI infrastructure planning, benchmarking, or high-performance computing.

• Knowledge of AI security, governance, and risk management.

• Experience implementing AI solutions in large-scale enterprise environments.

If interested for the above position, please send detailed resume with current and expected salary as well as date of availability through Apply now.

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