Liaise with internal teams and external stakeholders (consultants, contractors, suppliers, and authorities such as TNB, ST, and SEDA) to ensure smooth project execution.
Monitor project progress, performance, risks, and quality, while managing issues, contractual matters, and ensuring compliance with HSE and QA/QC standards.
Prepare project reports, support regulatory submissions, lead meetings, assist in testing and commissioning, and drive continuous improvement within the project team.
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First-Line Technical Anchor: Serve as the authoritative technical contact for regional food processing plants, plant managers, and field technicians facing urgent machine-related stoppages or technical issues.
Remote Troubleshooting: Perform structured remote diagnostics via digital connection tools, electrical schematics, and PLC code reviews to diagnose sensor drifts, mechanical binding, pneumatic pressure drops, or logic faults.
Technical Ticketing & SLA Governance: Log, manage, and resolve technical service tickets within the CRM/ERP database, establishing systematic tracking until successful root-cause closure.
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Execute functional integration test plans covering drive performance, regression, error handling and stress testing of HDD firmware on various host platforms (Window, Linux, etc) across SATA/SAS/USB interfaces.
Perform firmware update testing, SMART attribute validation, Drive Self-Test (DST), and power management verification
Collect and analyze drive diagnostic logs (DRM logs, SMART data) to identify and document failure root causes
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To build and maintain strong relationships with all customers by maintaining regular calls and visits. Make formal presentations to customers and the industries as required.
To maintain the existing customers base and develop new customers base from time to time in order to have a continuous business expansion.
To obtain an effective understanding of York products and offers, to produce and supply quotations to suit customer requirements.
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To build and maintain strong relationships with all customers by maintaining regular calls and visits. Make formal presentations to customers and the industries as required.
To maintain the existing customers base and develop new customers base from time to time in order to have a continuous business expansion.
To obtain an effective understanding of York products and offers, to produce and supply quotations to suit customer requirements.
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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.