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 #J-18808-Ljbffr

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