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
As a Senior Engineer on the Anti-Fraud AI Service Platform, you will build the foundational infrastructure that powers OKX’s security intelligence. This platform isn’t just a single tool; it is a comprehensive ecosystem that provides real-time fraud detection services, machine learning model deployment, and autonomous AI agents to our global risk engines.
You will focus on building high-performance Java services that can orchestrate complex workflows—integrating traditional rule engines with modern AI capabilities to protect millions of users and billions in assets.
What You’ll Be Doing
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Platform Engineering: Design and scale a high-concurrency AI Service Platform using Java, capable of handling sub-millisecond risk assessments.
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Service Orchestration: Build the middleware that integrates various AI services, including real-time feature extraction, model inference, and Agentic workflows for automated investigation.
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AI Agent Integration: Develop the “Agent-as-a-Service” module, enabling autonomous agents to perform complex tasks like automated link analysis, entity resolution, and fraud report generation.
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System Reliability: Ensure the platform remains resilient under extreme market volatility, managing distributed locking, caching strategies, and failover mechanisms.
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Cross-Functional Collaboration: Partner with Data Scientists to productize ML models and with Risk Ops to translate emerging fraud trends into automated platform capabilities.
What We Look For In You
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Java Mastery: Extensive experience with Java 17/21 and the Spring Boot ecosystem. Deep knowledge of asynchronous programming and reactive frameworks (e.g., Project Reactor, Vert.x).
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Scalable Architecture: Proven track record of building distributed systems with Microservices, gRPC, and Kafka for high-throughput event processing.
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AI/ML Infrastructure: Familiarity with the lifecycle of AI services—including model serving (Triton/TFServing), vector databases (Milvus/Pinecone), and LLM integration.
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Agentic Frameworks: Knowledge of how to wrap LLMs into functional services (e.g., Tool-calling, memory management, and reasoning loops) within a production Java environment.
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Data Proficiency: Experience with SQL and NoSQL environments (MySQL, MongoDB, Redis) and an understanding of Graph Databases (Neo4j) for fraud-path analysis.
Nice to Haves
- Familiarity with blockchain ecosystems and smart contract mechanics.
- Experience with scalable data pipelines and cloud infrastructure (e.g., AWS, GCP).
- Strong problem-solving abilities and critical thinking skills in fraud detection scenarios.
- Excellent communication skills and ability to work in a collaborative, cross-functional environment.
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees’ growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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More that we love to tell you along the process!
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