2-3 years of hands-on experience in warehouse, fulfillment, or logistics operations.
Ability to read Mandarin (essential for processing Mandarin-printed order notes, labels, and product details), alongside basic English or Bahasa Malaysia.
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Global Liaison: Act as the main point of contact between overseas business units, Account Managers, and the local Malaysia facility.
Operations & Delivery: Oversee smooth daily warehouse workflow, expedite incoming/outgoing orders, and optimize production levels.
System & Traceability: Ensure all order processing, job entries, and stock tracking are accurately logged in the computer/ERP system for 100% material traceability.
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Continuous improvement of workshop processes, including work order planning and scheduling, to maximize productivity, resource utilization, and operational efficiency.
Monitor and analyze inventory data to optimize stock control, improve turnaround time, and enhance overall workshop performance.
Lead, coach, and develop the workshop team through effective mentoring, motivation, and skills enhancement to foster a strong customer service culture.
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Continuous improvement of workshop processes, including work order planning and scheduling, to maximize productivity, resource utilization, and operational efficiency.
Monitor and analyze inventory data to optimize stock control, improve turnaround time, and enhance overall workshop performance.
Lead, coach, and develop the workshop team through effective mentoring, motivation, and skills enhancement to foster a strong customer service culture.
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Coordinate and support daily customer delivery activities in collaboration with the Sales team to ensure timely and accurate deliveries.
Liaise closely with internal departments, including Production, Warehouse, Logistics and Sales, as well as external parties, to coordinate delivery schedules and resolve delivery-related matters.
Plan and coordinate daily delivery routes to optimize delivery efficiency and ensure smooth transportation arrangements.
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Agentic AI ArchitectureDesign and implement production-grade agentic systems using models such as Claude. Agent orchestration, tool calling, function calling, multi-agent architectures, planning and task decomposition, agent memory, context management, state machines and workflow engines, long-running agents, human-in-the-loop systems, autonomous execution, recovery and retry mechanisms, observability, and evaluation. You understand the difference between LLM → Agent → Workflow → Autonomous System, and when each is appropriate.
Agentic Loops & Self-OptimizationA major part of the role is building closed-loop systems: Goal → Plan → Execute → Observe → Evaluate → Learn → Re-plan → Execute. Systems that evaluate their own outputs, detect failed actions, identify root causes, adjust strategies, optimize prompts and tool selection, keep what works, roll back what does not, and improve over time. Reflection, critique, self-evaluation, feedback loops, reward signals, evaluation frameworks, automated experimentation, memory, retrieval, state management.
Claude / LLM EngineeringDeep practical experience with Claude/Anthropic APIs is highly desirable. Tool use, structured outputs, streaming, context management, prompt engineering, system prompts, long-context workflows, model routing, token optimization, latency and cost optimization, context compression, agent memory, LLM evaluation. Experience with other frontier models (OpenAI, Gemini, Llama or equivalent) is a plus.
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Advance your architecture skills by owning multi-service systems and delivering measurable improvements in latency, cost, scalability, or maintainability. Lead design reviews, produce architecture diagrams, and propose practical trade-offs that keep our industrial customers reliable.
Lead cross-functional delivery with product and QA, defining clear acceptance criteria and keeping releases predictable. Coordinate rollout plans, feature flags, release notes, and post-release checks that reduce surprises in production and keep factory operations stable.
Expand your technical footprint across backend and frontend stacks by applying Node.js, Python, or Java and both SQL and NoSQL databases to ship full features. Work with containerisation, Kubernetes-style orchestration, CI/CD pipelines, and cloud services to run services at scale.
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