The Merchant Growth Platform PST in Malaysia supports merchant marketing products and owns ads, reports, internal tools, and third-party Integration domains for marketing related products.
You will work with the product/design/business team to understand requirements, provide product feedback, own and implement the product from start to finish.
You will create and lead the technical discussions within engineering teams
You will write code that is reusable, scalable and testable. Your code is the great examples that other team members can follow
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You will design, build, and maintain critical backend services, APIs, and asynchronous workflows that power merchant onboarding, seller operations, and e-commerce experiences.
You will independently own delivery from technical design to rollout, including implementation planning, testing strategy, monitoring, and rollback readiness.
You will improve the correctness, reliability, and observability of systems that manage merchant profile data, store configuration, catalog-related workflows, and business rules.
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You will work with Product/Design/Analytics teams to understand problems, requirements, provide feedback, options, trade offs, and timelines.
You will collaborate with Android/IOS/Backend/QA/ML Engineers to brainstorm and implement technical solutions that are scalable and addressing the actual problems.
You will write code that is reusable, scalable and testable. Make sure features are delivered on time and with high quality.
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The Merchant Growth Platform PST in Malaysia supports merchant marketing products and owns ads, reports, internal tools, and third-party Integration domains for marketing related products.
You will build and maintain features, services, integrations, and automations for internal enterprise applications and platforms.
You will contribute to reusable foundations for agentic applications, including APIs, event contracts, data access, identity, permissions, auditability, and human escalation paths.
You will apply testing, evaluation, observability, security controls, and operational guardrails throughout the development and delivery lifecycle.
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Bachelor’s degree in Computer Science, Information Systems Management or in similar fields – Master/PhD is a bonus (CGPA > 3.0 or similar grading is a must)
5+ years of experience in software engineering with a track record of ownership in cross-functional teams, excellent communication skills, and a strong focus on continuous learning, technical curiosity, mentoring and driving high-impact engineering outcomes.
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Assuming the role of a technical expert for solution design and development with the responsibilities below:
Partner with business stakeholders, product owners and project managers to understand business requirements and translate them into technical design.
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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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