Are you a tech-savvy student who lives at the crossroads of AI and web development? Aurorise AI is looking for an AI Web Builder Intern to join our fast-moving team in hyper mode, where you'll ship real work, fast.This isn't a "shadow and observe" internship. From week one, you'll be building, testing, and optimizing AI-assisted web experiences for live campaigns and client projects.
Build and validate proof-of-concepts (POCs), prototypes, and reference architectures for new AI use cases and technologies.
Develop and integrate AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, automation workflows, predictive analytics, and intelligent knowledge systems.
Design and implement system integrations through APIs, databases, cloud platforms, and enterprise applications....
Troubleshoot, evaluate, and make recommendations to upgrade maintenance operations and/or implement savings opportunities.
Perform regular testing on gen-set as per schedule and ensure it is working in order during TNB failure.
Perform testing of gen-set according to competency of Chargeman certification and ensure relevance act on electricity and safety are rigidly observed....
Register competency of chargeman certificate with Suruhanjaya Tenaga for Westport Grain Terminals Sdn Bhd under Electricity Supply Act & regulation.
Assist B0 chargeman / Technical Executive to perform repair and maintenance work, preventive maintenance task on all switch boards, circuit breakers and transformer at HV LV substations.
To ensure all laws and regulations related to electrical system and installation are complied with the authority....
Job SummaryWe are looking for a hands-on AI Engineer to design, develop, integrate, and deploy Generative AI, AI chatbot, and Agentic AI solutions. The role will focus on building practical AI applications and integrating LLM capabilities with existing applications, APIs, databases, and enterprise systems.Key ResponsibilitiesDesign and develop AI chatbots, copilots, and LLM-powered applications.Build Agentic AI solutions with reasoning, tool/function calling, multi-step task execution, and workflow automation.Implement RAG, embeddings, vector search, prompt engineering, and conversational memory.Work with commercial and open-source LLMs and select appropriate models based on business and technical requirements.Integrate AI solutions with REST APIs, databases, CRM/ERP systems, and enterprise applications.Develop AI integration services and APIs for existing systems and business workflows.Evaluate and optimize AI solutions for accuracy, reliability, latency, scalability, security, and cost.Collaborate with software engineers, architects, product teams, and business stakeholders.Keep up to date with developments in Generative AI, LLMs, Agentic AI, and AI automation.RequirementsBachelor's degree in Computer Science, AI/ML, Software Engineering, or a related field.3+ years of experience in AI/ML engineering, software engineering, or a related role.Hands-on experience developing LLM applications, AI chatbots, or Generative AI solutions.Practical experience with AI Agents, Agentic AI, tool/function calling, or AI workflow automation.Experience with open-source LLMs such as Llama, Qwen, Mistral, Gemma, or equivalent.Strong Python programming and software engineering skills.Experience with REST APIs, system integration, databases, and cloud/on-premise environments.Hands-on experience with RAG, vector databases, embeddings, and prompt engineering.Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or equivalent.Experience with LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Gemini, and/or open-source models.Familiarity with Docker, Git, CI/CD, and production deployment.Preferred SkillsExperience serving open-source LLMs using vLLM, Hugging Face, Ollama, or equivalent.Experience with MCP, multi-agent systems, LLM evaluation/observability, fine-tuning, LoRA/QLoRA, or model optimization.Experience with AWS, Azure, or Google Cloud.Knowledge of AI security, data privacy, access control, and responsible AI.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality....