AI Native Platform Architect

原始資料於 2026-11-06T13:32:39.043595+00:00 查閱；內容可能已更新，請查看原始職位。

What We Look For In You
Bachelor’s degree or above, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
8+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities.
Proficient in Java / Python, with solid coding skills, architectural thinking, and experience building complex systems.
Strong understanding of LLM and AI Agent architectures, including task decomposition, tool use, context management, memory, execution loops, and exception handling.
Hands-on experience with LangChain and LangGraph, and strong familiarity with mainstream AI coding tools or frameworks such as Claude Code, Codex, Cursor, and Copilot.
Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases.
Good understanding of DevOps, CI/CD, Kubernetes, and cloud-native technologies, with strong cross-functional collaboration and execution skills.
Nice to Haves
Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs.
Experience building enterprise engineering platforms, DevOps platforms, or AI platforms.
Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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