About the role

Design, build, and optimize domain-specific AI agents across multiple areas such as semiconductor design, semiconductor manufacturing, and internet products. Own the end-to-end lifecycle of AI agents, including requirement discovery, agent architecture design, tool integration, and continuous iteration based on user feedback. Locations :

Penang / Klang Valley Key responsibilities

Design multi-step reasoning flows, integrating external tools and APIs Conduct prompt and policy optimization, and implement evaluation strategies to measure task success, safety, and reliability Work with LLM platforms, retrieval-augmented generation (RAG), and orchestration frameworks Translate complex business and engineering use cases into practical AI agent solutions Collaborate closely with domain experts to encode workflows and best practices into robust, reliable agentic systems Connect agents to external tools, databases, and enterprise APIs (e.g., EDA tools in chip design, CRM, internal microservices) Implement multi-agent coordination and complex workflow automation Design robust evaluation strategies: task success metrics, safety guardrails, reliability benchmarks,



and user feedback loops About you

Strong understanding of agentic systems, including planning, reasoning, memory, tool use, and reflection mechanisms Experience designing modular, scalable, and maintainable agent architectures for domain-specific applications Hands‑on experience with commercial and open-source LLMs Proficiency in prompt engineering, chaining, and policy design to guide agent behavior Expertise in building RAG pipelines: document ingestion, embedding, vector search, context fusion, and answer generation Ability to optimize retrieval relevance and mitigate hallucination in domain contexts (e.g., semiconductor or internet product data) Skilled at connecting agents to external tools, databases, and enterprise APIs Experience with agent orchestration platforms such as LangChain, LlamaIndex, Semantic Kernel, or custom frameworks Capable of designing robust evaluation strategies and data‑driven mindset for continuous agent improvement and A/B testing Solid coding skills in Python

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📌 AI Agent Engineer (Palacios del Sil)
🏢 Oppstar Berhad
📍 Palacios del Sil