全职 Generative AI Engineer 工作, 薪水, Master Tec Wire & Cable Melaka 公司招聘中 - Ricebowl

Key Responsibilities:

• Build intelligent AI workflows to automate document-heavy back-office and front-office processes across departments:
• Architect Retrieval-Augmented Generation (RAG) systems that allow staff across all departments to query internal SOPs, technical standards (e.g., IEC/BS), product catalogs, and historical business records via natural language.
• Connect Generative AI pipelines and APIs with existing enterprise systems (ERP, CRM, HRMS, Microsoft 365, Google Workspace, and internal file shares) to trigger hands-free cross-platform workflows.
• Develop autonomous multi-step agents (using tools like LangChain, n8n, Flowise, or custom Python microservices) that read emails, extract structured data, update databases, and draft responses.
• Implement prompt guardrails, data validation checks, and role-based access control to ensure outputs are reliable, hallucinations are minimized, and sensitive commercial and employee data remains secure.

Required Qualifications & Skills

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related technical field.
• 2+ years of experience building applications with Large Language Models (LLMs), prompt engineering, and RAG architectures using vector databases (Pinecone, Chroma, FAISS, Milvus).
• Strong proficiency in Python, RESTful API design (FastAPI/Flask), webhooks, and JSON data manipulation.
• Proven experience with Document AI, Intelligent Document Processing (IDP), multi-modal models, or OCR (e.g., extracting structured tables and text from PDFs, POs, and invoices).
• Strong communication skills to liaise with non-technical department heads (Purchasing, Finance, HR, Sales, Production) to map processes into automated workflows.
• Practical exposure to no-code/low-code integration platforms (n8n, Make, Power Automate) alongside code-based AI frameworks.
• Experience deploying local/on-premise open-source LLMs (via Ollama, vLLM) for data privacy and internal-only usage.
• Familiarity with ERP workflows, purchase order lifecycles, or supply chain documentation standards.