- Petaling Jaya Selangor Malaysia
Working Location
Job Description
Responsibilities
AI Engineer (Automation) at a AI and Data Consultancy
Salary: RM3500 - RM4000
Position: Graduate / Junior / Intern AI Engineer (Automation)
*Candidates who have experience in this field, or have a strong interest and are able to demonstrate that through their work or knowledge, are also encouraged to apply.*
Role Overview
As an AI Engineer, you will design and build autonomous AI agents and multi-agent workflows powered by LLMs to deliver scalable business automation. You will transform manual processes into reliable, end-to-end intelligent systems across multiple domains.
Responsibilities
• Develop and deploy agentic AI systems and multi-agent orchestration for complex automation use cases.
• Leverage AI-powered development tools and CLIs such as Claude Code, along with familiarity in skills, plugins, and similar agentic coding environments to accelerate development, code generation, and workflow automation.
• Conduct R&D on emerging agentic technologies, including advanced LLM orchestration, retrieval systems, and production deployment.
• Prototype and implement frameworks using novel emerging tools (e.g. OpenClaw, AutoGen) and other established frameworks (e.g. LangChain, LangGraph).
• Build integrations and workflows using n8n, Python, JavaScript, Google APIs, and other automation platforms.
• Train/fine tune narrow purpose LLMs
• Analyze processes to identify and implement AI automation opportunities with a focus on reliability and scalability.
• Deliver automation solutions for internal operations and client projects in IT services and retail.
• Collaborate with teams to gather requirements and communicate technical solutions to stakeholders.
Qualifications
• Bachelor's Degree or higher in Computer Science, Data Science, Information Systems, or related field.
• Experience with Generative AI (LLMs), agentic systems, and production inference.
• Strong proficiency in Python and JavaScript, automation platforms (n8n, Power Automate, UIPath), and AI frameworks (LangGraph, CrewAI, LangChain).
• Solid understanding of APIs, integrations, RAG systems, and vector embeddings.
• Practical knowledge of Natural Language Processing, tool-calling, memory management, and agent evaluation.
• Excellent problem-solving, creativity, and communication skills.
Bonus
• Always interested in the industry with a strong willingness to explore and stay updated on new emerging technologies.
• Experience with multi-agent collaboration, observability, and governance.
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