Shopee
Senior Expert Backend Engineer, Business Security Platform
Senior backend engineer leading architecture and core development of Shopee's Business Security Platform, leveraging AI/LLM for automated risk discovery, anti-fraud, and payment security using Go or Java.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Backend
- Posted
Skills
Must have
- Bachelor's degree or above in Computer Science, Software Engineering, AI, or related field
- Extensive hands-on experience in LLM application development and production implementation
- Deep understanding of Context Engineering, AI Agents, Evaluation Frameworks, and AI-assisted engineering
- 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
- Strong problem-solving, abstraction, and system design skills
- Excellent cross-functional communication and collaboration skills
Nice to have
- Experience in anti-fraud, security platforms, data computing platforms, or AI platforms
- Experience in team management, technical mentoring, or leading core module development in large-scale systems
Full 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.
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.