OKX - AI Native Platform Architect
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Requirements
• Experience contributing to open-source projects related to AI Agents, AI Coding, RAG, or knowledge graphs. • open-source projects • Experience building enterprise engineering platforms, DevOps platforms, or AI platforms. • enterprise engineering platforms, • DevOps • platforms, or AI platforms • Familiarity with open-source Agent projects such as openclaw, openhands/openharness, or Hermes. • openclaw, openhands/openharness, or Hermes
Responsibilities
• Lead the overall architecture design and core capability development of the AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration. • overall architecture design and core capability development • Drive the implementation of AI Native capabilities in engineering workflows, including AI coding, technical solution generation, test case generation, test report generation, and automated environment deployment. • implementation of AI Native capabilities in engineering workflows • Build the knowledge augmentation layer for the platform, including the design, integration, and application of RAG, GraphRAG, and knowledge graph capabilities. • knowledge augmentation layer • Establish the runtime and governance framework for AI Agents, including execution isolation, permission control, auditability, evaluation, stability, and cost governance. • runtime and governance framework • Collaborate with product, engineering, QA, and operations teams to standardize, productionize, and scale platform capabilities, continuously improving engineering efficiency and delivery quality. • What We Look For In You • Bachelor’s degree or above, preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. • Bachelor’s degree or above • 8+ years of experience in backend engineering, platform engineering, or infrastructure engineering, with strong system design and delivery capabilities. • 8+ years • Proficient in Java / Python, with solid coding skills, architectural thinking, and experience building complex systems. • Java / Python • Strong understanding of LLM and AI Agent architectures, including task decomposition, tool use, context management, memory, execution loops, and exception handling. • and AI Agent architectures • 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. • LangChain and LangGraph • Claude Code • , Codex, • Cursor • , and Copilot • Experience in designing or developing RAG / GraphRAG / knowledge graph solutions for enterprise knowledge augmentation and engineering use cases. • RAG / GraphRAG / knowledge graph • Good understanding of DevOps, CI/CD, Kubernetes, and cloud-native technologies, with strong cross-functional collaboration and execution skills. • DevOps • CI/CD • Kubernetes • , and cloud-native technologies
Benefits
• 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! • OKX Statement:
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