- Develop AI applications that integrate LLMs (OpenAI GPT, Claude, Azure OpenAI) into business processes via API integration and prompt engineering.
- Build and maintain AI automation workflows using n8n, Power Automate, or similar tools, with guidance from senior team members.
- Assist in developing AI agent systems for document processing, data extraction, and conversational interactions.
- Create and deploy internal AI tools and chatbots serving employees across the APAC region.
- Integrate AI solutions with existing systems and data sources via APIs.
- Prototype quickly — turn business ideas into working AI applications, gather feedback, and iterate.
Knowledge and Skills Requirements
Education
- Bachelor’s degree in Computer Science, Software Engineering, IT, or related field. Candidates without a degree but with strong portfolios and demonstrable AI development skills are welcome to apply.
Must-Have
- Python programming: Clean, functional Python code. This is your primary working language
- Hands-on LLM/AI API experience: You’ve called LLM APIs (OpenAI, Claude, Azure OpenAI, etc.), written prompts, and built something with the results.
- AI-assisted development tools: You actively use Claude Code, GitHub Copilot, Cursor, or similar to code faster and better
- Git fundamentals: Version control, branching, pull requests — you can work in a team codebase
Strong Advantage
- AI workflow / automation experience (n8n, Power Automate, Make, Zapier) — especially with AI steps
- RAG (Retrieval-Augmented Generation): connecting LLMs to external data sources.
- API development: built REST APIs (FastAPI, Flask, Express), not just consumed them.
- Prompt engineering depth: chain-of-thought, few-shot, function calling / tool use, structured outputs
- Deployed an AI app or tool that others actually use (even small scale)
- Any cloud platform experience (Azure, AWS, or GCP)
- Nice-To-Have
- Azure AI services (Azure OpenAI, Azure AI Foundry, Cognitive Services)
- Cloud data platforms (Snowflake, Azure Synapse, BigQuery)
- AI agent frameworks and protocols (MCP, A2A, CrewAI, AutoGen, LangGraph)
- Vector databases (Pinecone, ChromaDB, pgvector)
- Docker basics
- Front-end basics (HTML/CSS/JavaScript or React) for AI app interfaces
- Microsoft Power Platform (Power Apps, Power Automate, Copilot Studio)
- Communication in Mandarin or Cantonese
Pay: RM5,000.00 - RM7,000.00 per month
Benefits:
- Additional leave
- Cell phone reimbursement
- Dental insurance
- Health insurance
- Opportunities for promotion
- Parental leave
- Professional development
- Vision insurance
- Work from home
Application Question(s):
Language:
- Cantonese (Preferred)
- Mandarin (Required)
Work Location: Hybrid remote in Shah Alam (Petaling)