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テンセント

インターネット
インターン学年不問エンジニアITエンジニア

テンセント AI IT Engineer Intern のご案内

2026年05月07日更新

募集締切が過ぎています

すでに募集が終了している情報のため、応募はできませんのでご注意ください。

Work Mode

Onsite

What the Role Entails

・Participate in the development of internal AI-powered applications and automation platforms, supporting initiatives that streamline IT and business processes.

・Assist in building AI-assi
sted workflow automation, including task orchestration, event-driven workflows, and system-triggered processes.
・Support the development of AI capabilities such as RAG pipelines, multi-agent workflows, knowledge retrieval systems, and internal tooling.

・Assist with data processing, embedding pipelines, hybrid search solutions, and graph-based modeling for CMDB and knowledge graph use cases.

・Integrate enterprise systems and APIs (e.g., ServiceNow, Workday, Microsoft Graph) to enable automated IT workflows and system-to-system interactions.

・Contribute to testing, CI/CD pipelines, monitoring, and performance optimization for internal platforms and services.
・Provide hands-on IT support for end-user devices (Windows/macOS), networking, AV systems, and office IT infrastructure.

・Support IT onboarding/offboarding, access management, procurement coordination, and ITSM-related processes.

Who We Are Looking For

・Undergraduate students majoring in Computer Science, Information Systems, IT, AI, or related disciplines.

Proficiency in at least one backend programming language or technology stack, such as Python, Go, Java, or ・JavaScript/TypeScript (Node.js).

・Basic understanding of modern frontend frameworks (e.g., Next.js, Vue.js) is a plus.

・Familiarity with databases (MySQL, PostgreSQL, NoSQL) and Git-based development workflows.

・Ability to read, write, and speak fluent Mandarin Chinese to collaborate with cross-border teams.

・Interest in AI applications, workflow automation, and process optimization, and motivation to apply technology to reduce manual and repetitive work.

・Exposure to AI applications, RAG architectures, agent frameworks, cloud-native toolchains, and observability platforms is advantageous.

詳細、ご応募は下記リンクよりご確認ください。

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