Principal AI Engineer
OKX
Software Engineering, Data Science
Singapore
Posted on Dec 1, 2025
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). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking a highly skilled Principal AI Engineer to join our AI team. This role is focused on:
- AI Agents for Compliance & AML — Build intelligent agents to automate compliance workflows, detect suspicious activity, and enhance AML case triage.
- Real-Time Fraud Detection — Develop deep similarity and pattern-analysis models to identify abnormal biometric or behavioral signals in real time.
- Global OCR & ID Understanding — Create scalable OCR and document-parsing pipelines for passports, driver’s licenses, and national IDs across multiple languages.
- AIGC for Image & Video Generation — Exploring generative AI (diffusion/transformer models) for synthetic data creation, media augmentation, and visual manipulation.
- Multi-Modality Security – Leveraging a combination of images, videos, and user behaviors to enhance security through cross-modal AI techniques.
The ideal candidate will contribute to the development of innovative solutions to safeguard biometric processing systems and enhance security across multiple AI-driven applications.
What You’ll Be Doing
- Design, train, and deploy state-of-the-art deep-learning models for computer vision, multimodal fusion, and AI agent applications.
- Develop production-ready pipelines for OCR text extraction, biometric matching, fraud pattern recognition, and AIGC generation.
- Collaborate with backend, product, and infrastructure teams to integrate AI solutions seamlessly into large-scale systems with high availability and low latency.
- Drive experimentation and R&D in vision-LLM and multimodal representation learning to advance AI security capabilities.
- Stay current with academic and industry advances in deep learning, AI agents, and generative security technologies, and translate them into practical
- solutions.
- Contribute to internal knowledge sharing and mentor junior engineers in applied AI development best practices.
What We Look For In You
- Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, deep learning, and multimodal.
- 8+ years of hands-on experience developing AI/ML solutions in areas such as computer vision, AI agents, multimodal learning, vision-LLM, or generative video/image modeling.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.
- Strong analytical and problem-solving skills.
Nice to Haves
- Experience working in fast-paced tech companies or startup environments.
- Contributions to open-source projects or research publications in the field of computer vision and biometric security.
- Familiarity with edge AI and real-time processing for computer vision applications.
Perks & Benefits
- 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!
#LI-ML1 #LI-ONSITE
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