Senior Expert Backend Engineer, Business Security Platform
Job Description:
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.
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.