Job Description
We are seeking a visionary 2026 AI Infrastructure Engineer to pioneer the next generation of artificial intelligence systems. As we look toward the future, our mission is to build the foundational infrastructure that will power the autonomous economy of tomorrow. You will work on cutting-edge projects involving Large Language Models, generative adversarial networks, and next-gen edge computing solutions.
At ZAI Corp, we don't just predict the future; we engineer it. If you are passionate about scalability, high-performance computing, and the ethical implications of AGI, this is your opportunity to lead.
Responsibilities
- Design and deploy scalable machine learning infrastructure capable of handling petabyte-scale data.
- Optimize neural network inference for low-latency environments and edge devices.
- Lead architectural decisions for cloud-native AI platforms using Kubernetes and Docker.
- Collaborate with research teams to integrate novel algorithms into production pipelines.
- Establish best practices for MLOps, monitoring, and model governance.
- Conduct rigorous performance testing and benchmarking against industry standards.
Qualifications
- 5+ years of experience in software engineering with a focus on machine learning systems.
- Strong proficiency in Python, C++, and distributed computing frameworks (PyTorch, TensorFlow).
- Deep understanding of system architecture, microservices, and containerization.
- Experience with cloud providers (AWS, GCP, or Azure) and serverless technologies.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.