Senior Expert Backend Engineer, Business Security Platform

• Lead the architecture design and core capability development of the Business Security Platform, leveraging AI / LLM technologies to build end-to-end workflows for automated risk discovery, intelligent analysis, solution recommendation, and closed-loop risk governance.
• Design and implement high-performance, highly available, and scalable platform services to support key scenarios such as anti-fraud, anti-scam, payment, and account security.
• Build data computing and data service capabilities for risk decisioning, delivering high-quality, efficient, and reusable data computing products.
• Research, evaluate, and apply industry best practices in AI Agents, LLM application engineering, and anti-fraud system engineering to drive technology adoption in business security scenarios.
• Collaborate closely with product, algorithm, strategy, data, and platform teams to ensure smooth integration, continuous evolution, and scalable adoption of anti-fraud systems.
• As a senior technical expert, lead critical technical reviews, solve complex engineering challenges, and improve engineering quality, technical standards, and talent development within the team.

Requirements

• Bachelor’s degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Extensive hands-on experience in LLM application development and production implementation, with a deep understanding of Context Engineering, AI Agents, Evaluation Frameworks, Vibe Coding / AI-assisted engineering, and related technologies.
• Proven experience in designing, optimizing, and operating high-concurrency, high-availability, distributed backend services.
• Proficiency in at least one backend programming language, such as Go or Java, with strong engineering practices.
• Strong problem-solving, abstraction, and system design skills, with the ability to translate complex business logic into scalable and reusable platform capabilities.
• Excellent cross-functional communication and collaboration skills, with a proactive mindset, strong ownership, and result orientation.
• Experience in anti-fraud, security platforms, data computing platforms, or AI platforms is preferred.
• Experience in team management, technical mentoring, or leading the design and development of core modules in large-scale systems is a strong plus.