Integrate LLM/AI capabilities into real product scenarios, such as intelligent assistants, RAG workflows, AI agents, automation tools, classification, summarization, and issue analysis.
Use AI-assisted engineering tools and workflows, such as Claude Code, spec-driven development, reusable skills, and automated review/test loops, to accelerate delivery while preserving engineering quality.
Responsible for drafting and updating product specifications and prepare the product presentation for the relevant Executive Committee’s evaluation and approval.
Track and evaluate industry best practices in areas such as AI Agent, LLM application engineering, and anti-fraud system engineering, promoting the implementation of new technologies in business security scenarios.
What You'll Do:️ Develop, maintain, and enhance PowerBuilder applications Troubleshoot and resolve application issues efficiently Collaborate with cross-functional teams to gather requirements Ensure data integrity and application performance️ Participate in code reviews and optimize existing code
Develop and maintain reusable component libraries, plugins, and shared modules consumed across multiple products to reduce duplication and improve consistency.
Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.