OKX is hiring a Senior Staff Engineer, AI Platform and Infrastructure in Engineering — Hong Kong, Hong Kong SAR; Singapore, Singapore. The overview below is synthesized from the employer posting on job-boards.greenhouse.io: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps).
About the opportunity
Company context from the listing:
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.
The listing frames the Senior Staff Engineer, AI Platform and Infrastructure at OKX as a hands-on product role. 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 at scale.
You will be a hands-on technical leader, shaping long-term platform strategy while also diving deep into architecture, performance, and reliability challenges across compute, data, and ML systems.
What You’ll Be Doing
- Architect and build large-scale AI infrastructure supporting training, fine-tuning, and deployment of AI models
- Define platform standards and reference architectures for distributed training, inference, and model lifecycle management
- Lead the design of 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
- Set technical direction and best practices for AI platform development, including scalability, reliability, observability, security, and operational excellence
- Evaluate and integrate emerging technologies in AI infrastructure (frameworks, accelerators, serving stacks, tooling)
- Mentor senior engineers and act as a subject-matter-expert, influencing architecture beyond your immediate scope
What We Look For In You
Experience and skills the team lists as required:
- Bachelors Degree in Computer Science, Information Technology, Engineering, Mathematics or equivalent, with at least 7+ years of relevant experience in the industry
- Experience in AI Agent / RAG engineering solutions
- Experience in Microservices / API development with Java/SpringBoot/SpringCloud/Python/Langchain
- Knowledgeable in multi-threading and distributed architecture
- Understanding of mainstream messaging frameworks including Kafka etc.
- Knowledge of different databases solutions including vector DB
Good to Have
- Experience with AI models or multi-agentic AI systems
- Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Perks & Benefits
What the posting highlights about the offer:
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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