Senior AI Solutions Engineer - RAG & LLM Orchestration

iSoftstone Malaysia; Shah Alam; On-site; MYR 120,000 - 180,000; Full time

Job summary

Tapestry Supply Chain IT is seeking a hands-on AI Developer to design, build, test, and deploy production-grade AI solutions, intelligent agents, and RAG pipelines across Supply Chain and Enterprise operations.

You will collaborate with Business Analysts to translate requirements into scalable AI applications, focusing on coding, prompt optimization, API integration, and full deployment lifecycle ownership.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.
• 5+ years of experience in software development, digital transformation, or AI-related roles.
• 2+ years of hands-on experience delivering AI, Generative AI, LLM, Copilot, chatbot, RAG, or intelligent automation solutions.
• Hands-on experience with LLM orchestration global platforms (e.g., Dify, Microsoft Copilot Studio, Claude, Qwen).
• Familiarity with LLM technologies and AI application patterns including Retrieval-Augmented Generation (RAG) and AI agents.

Responsibilities

• Partner with Business Analysts to understand business challenges and surface AI opportunities.
• Assess feasibility and complexity for proposed AI use cases.
• Identify suitable AI platforms, models, and tools for each business need.
• Design, build, and deploy production-ready AI solutions including RAG systems and chatbots.
• Write clean backend code (Python/TypeScript) and build API connectors to bridge AI engines with ERP/PLM/SC databases.

Skills

LLM orchestration

Python/TypeScript

APIs integration

Azure OpenAI

RAG pipelines

Education

Bachelor's degree in CS/IT/Engineering

Tools

Dify

Copilot Studio

Claude

Qwen

Azure AI Services

Job description

Tapestry Supply Chain IT is seeking a hands-on AI Developer to design, build, test, and deploy production-grade AI solutions, intelligent agents, and RAG pipelines across Supply Chain and Enterprise operations.

You will collaborate with Business Analysts to translate requirements into scalable AI applications, focusing on coding, prompt optimization, API integration, and full deployment lifecycle ownership.