AI Agent Engineer (Palacios del Sil)

AI Agent Engineer (Palacios del Sil)

22 oct
|
Oppstar Berhad
|
Palacios del Sil

22 oct

Oppstar Berhad

Palacios del Sil

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

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