Design, develop, test, deploy and maintain full-stack web applications that are scalable, secure, reliable and aligned with approved business requirements.
Build responsive, user-friendly and accessible front-end interfaces using modern web technologies and frameworks such as React.js, Angular, Vue.js, JavaScript, TypeScript, HTML5 and CSS3.
Develop robust back-end services, APIs and microservices using suitable technologies such as Node.js, Java, Python or equivalent frameworks.
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Full-Cycle SDLC Management: Take end-to-end ownership of application development and release pipelines for Singapore and Malaysia stores, covering requirements gathering, technical scoping, build, SIT, UAT support, and go-live.
Market Independence & Stakeholder Management: Work directly and independently with SG and MY business, product, and banner leads to analyze commercial challenges and translate complex operational requirements into robust technical solutions.
Vendor & Engineering Oversight: Oversee internal engineering resources and third-party development partners, critically reviewing technical proposals, code quality, and delivery performance against SLAs.
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Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded
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Own end-to-end delivery and reliability of CRM/OM services across Customer Management, Product Catalogue, Campaigns, Order Management, and Revenue/Billing integration
Lead design and implementation of scalable backend services and workflow-driven processes for order lifecycle orchestration
Review and govern API design and integration patterns across billing, provisioning/OSS systems, digital channels, and external partners
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We are looking for an exceptional Senior/Staff Full Stack Engineer with 10+ years of engineering experience to build the next generation of AI-native software systems.
This is not a traditional full-stack role. We are looking for someone who understands how to build systems where AI agents can reason, execute, observe outcomes, learn from feedback, and continuously improve their own performance.
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We are looking for an exceptional Senior/Staff Full Stack Engineer with 10+ years of engineering experience to build the next generation of AI-native software systems.
This is not a traditional full-stack role. We are looking for someone who understands how to build systems where AI agents can reason, execute, observe outcomes, learn from feedback, and continuously improve their own performance.
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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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