Software Engineer - AI Agent Infra Graduate (Security Engineering) - 2027 Start

Team Introduction The Data Security Platform Team is dedicated to building a robust and general-purpose infrastructure foundation for data security products. The team enables various data security initiatives to be implemented more efficiently and agilely, continuously improving R&D and delivery efficiency while enhancing system stability and scalability. The team covers several key areas, including security gateways, control plane platforms, and AI Agent architecture., * Design and build the foundational AI Agent platform for the security team, including agent framework selection and implementation, tool and plugin ecosystems, workflow orchestration, knowledge base integration and retrieval-augmented generation (RAG), evaluation pipelines, staged rollout, observability, and cost management.

• Partner with security stakeholders to deliver and continuously improve AI Agent solutions for real-world use cases, such as security operations support, risk analysis and response assistance, policy generation and review, automated analysis, and intelligent Q&A, driving improvements in team productivity and delivery quality.
• Build and enhance API gateway and related platform services, with a focus on core infrastructure such as access control, auditing, tenant isolation, and rate limiting, ensuring the platform is secure, scalable, and governable.
• Develop a data asset management platform to support internal teams, including engineering, legal, and compliance operations, with data asset management and data policy governance capabilities.
• Stay up to date with emerging AI technologies, collaborate with internal and external domain experts, and translate innovative ideas into practical business applications.Minimum Qualifications

Software Engineering, Artificial Intelligence (AI), Continuous Improvement, Information/Data Security (InfoSec), Artificial Intelligence (AI), Research & Development (R&D), Security Infrastructure, Systems Scalability, Onboarding, Ecosystems, * Individuals who are completing or have recently completed a Bachelor’s/ Master’s degree in Computer Science, Software Engineering, Information Security or a related discipline.

• Proficiency in at least one mainstream programming language, such as Go, C++, C, Rust, Java, Python, or Node.js, with strong coding fundamentals and good engineering practices.
• Strong communication and collaboration skills, with a proactive mindset and a strong sense of ownership.
• Strong analytical thinking and problem-solving skills, with the ability to break down complex or ambiguous problems and develop clear, practical solutions in a timely manner., * Hands-on experience in AI Agent application development is a plus, including areas such as LLM integration, prompt engineering, agent orchestration frameworks, and tool/skill invocation workflow design.
• Architectural experience is preferred, with hands-on experience in service governance, stability improvement, high-concurrency processing, and capacity planning.