Senior Engineer AI Platm and Infrastructure

Eligibility

OKX will be prioritising applicants who have a current right to work in Singapore and do not require OKX's sponsorship of a visa.

The AI Engineering team is responsible for integrating AI models with different business lines, across teams such as Compliance, Trading, Financial Products, and Business Intelligence. We are looking for a Senior Engineer to support the design, development, and evolution of large‑scale AI infrastructure that powers mission‑critical machine learning and generative AI workloads. In this role, you will operate at the intersection of systems engineering, distributed computing, and applied AI, setting technical direction and building platforms that enable teams across the company to develop, train, deploy, and operate AI models reliably  will be a key contributor to shaping long‑term platform strategy while also diving deep into architecture, performance, and reliability challenges across compute, data, and ML systems.

• Build large‑scale AI infrastructure supporting training, fine‑tuning, and deployment of AI models.
• Develop scalable systems across compute, storage, networking, and orchestration layers (e.g., GPU/accelerator clusters, schedulers, data pipelines).
• Drive performance, reliability, and cost optimization for AI workloads at scale.
• Partner with the AI Science team and relevant business units to translate requirements into robust platform capabilities.
• Engage in best practices for AI platform development, including scalability, reliability, observability, security, and operational excellence.

• Bachelor’s Degree in Computer Science, Information Technology, Engineering, Mathematics or equivalent, with at least 5+ years of relevant experience in the industry.
• Experience in AI Agent / RAG engineering solutions.
• Experience in Microservices / API development with Java/Spring Boot/Spring Cloud/Python/Langchain.
• Knowledgeable in multi‑threading and distributed architecture.
• Understanding of mainstream messaging frameworks including Kafka, etc.

• Competitive total compensation package.
• L&D programs and education subsidies for employees' growth and development.
• Various team‑building programs and company events.
• Wellness and meal allowances.
• Comprehensive healthcare schemes for employees and dependants.