全职 AI Agent Engineer 工作, 薪水, Oppstar Technology Pulau Pinang 公司招聘中 - Ricebowl

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.

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