Assist in the conceptualization, schematic design, and detailed development of master plans for various project types (e.g., new towns, mixed-use developments, urban regeneration, large-scale resorts).
Conduct comprehensive site analysis, including environmental conditions, cultural contexts, regulatory frameworks, and existing infrastructure, to inform design solutions. Develop land use plans, zoning analysis, density studies, and urban design schemes.
Integrate sustainable development principles, green infrastructure, and smart city concepts into planning proposals. Prepare detailed planning reports, design statements, feasibility studies, and presentations that effectively communicate planning concepts and proposals.
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Outstanding design sensibility
creativity
and ability to translate complex data and concepts into compelling
functional
and aesthetically pleasing urban designs.
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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