Specifying and selecting manual valves and piping material to APCI standards
Selecting and specifying mechanical equipment to APCI standards
Review of project drawings and specifications such as layout plan, P&ID, valve specifications, piping specifications, cleaning requirement, SLD and etc.
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Govern the end-to-end product business rules and policies management of mobile and home products, including Prepaid, Postpaid, Home WiFi and Fibre.
Ensure product business rules, configuration and operational processes are aligned with business objectives and regulatory requirements.
Establish, support and maintain product business rules, policies and operational guidelines for frontlines and CX for all product initiatives and launches
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Serve as the senior (L3) escalation point for application incidents and change requests that require code-level fixes on the Mendix Low-Code Platform.
Perform thorough investigation and root cause analysis of reported issues, and design and implement code changes to resolve bugs and deliver small change requests (CRs).
Coordinate and execute deployments of fixes and changes, ensuring releases do not disrupt the client's ongoing project team, timelines, or environments.
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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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