Design, develop, and integrate customised mechanical mechanisms for robotic systems, including robotic end-effectors, grippers, tool-changing interfaces, material handling systems, and task-specific automation modules.
Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks.
Perform mechanical design analysis and engineering calculations, including load estimation, actuator sizing, structural integrity, tolerance analysis, and vibration/shock mitigation.
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As a DC Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining our data center infrastructure to ensure optimal performance, reliability, and security. You will work closely with our engineering teams to help out our growing infrastructure needs and show your work through your command of your AutoCAD design experience.
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Lead Electrical multi-disciplinary/functional team in the region to deliver Data Center and other technically challenging projects.
Perform engineering tasks on the electrical services from Concept, Basis Of Design (BOD) 35% to 100% designs (including calculations, computer simulations, specifications etc.) for Electrical infrastructure in Data Center projects.
Provide technical guidance to project and design engineers and resolve any technical problems faced during design and construction stages.
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PETROS in Sarawak seeks a Lead, Electrical to provide technical leadership across management, engineering, contract development, and operations. You will ensure electrical practices meet codes, standards and safety requirements while driving capability development.
You will mentor engineers, lead design reviews, develop standards, and support business development through feasibility studies and technical tender packages.
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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