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About the Company
At Aurorise AI, we help Malaysian businesses grow smarter using AI automation — from dental clinics to automotive dealerships and everything in between. We're looking for an Applied AI Engineer who doesn't just understand AI — but knows how to put it to real use. This is not a research role. You'll be building, deploying, and improving AI-powered systems that solve real business problems for real clients.
Role Overview
This role focuses on practical AI implementation and automation for SME clients across Malaysia.
Responsibilities
- Design and deploy AI agents, chatbots, and automation workflows for SME clients across Malaysia.
- Integrate AI tools (LLMs, voice agents, RAG pipelines) into CRM platforms and business systems.
- Build and maintain knowledge bases, prompt templates, and AI training datasets.
- Work closely with delivery to turn client briefs into working AI solutions — fast.
- Test and evaluate continuously to improve AI outputs for accuracy, tone, and performance.
- Identify opportunities to automate repetitive tasks and create measurable value for clients.
- Stay up to date with the latest AI tools and bring the best ones to the team.
Requirements
AI Foundations
- Solid understanding of LLMs, prompt engineering, and AI APIs (OpenAI, Anthropic, Gemini, etc.)
Automation Tools
- Hands-on experience with automation tools like Make.com, Zapier, n8n, or similar
Integration Skills
- Comfortable working with APIs, webhooks, and integrating AI into third-party platforms
Coding Proficiency
- Ability to write clean, readable code in Python or JavaScript
Communication
- Strong communicator who can explain technical ideas to non-technical clients
Ownership Mindset
- Self-starter who takes ownership and follows through
Must Have
- LLMs
- Prompt Engineering
- OpenAI/Anthropic API
- Python or JavaScript
- CRM Integration
- Workflow Automation
- API & Webhooks
Nice-to-Haves
- RAG & Vector Databases
- Voice AI
- Langchain/LlamaIndex
- No-code/Low-code tools
- Bilingual (EN & ZH)
Desired Qualities
- Impact-driven — care whether your work changes something
- Curious by nature — experiment, try new tools, learn fast
- Ownership mindset — follow through, don't drop the ball
- Builder instinct — ship, not just talk
- Team player — share knowledge, make others better
- Business-minded — think about outcomes, not just tech stacks
Education
- Bachelor's degree in Computer Science, Software Engineering, AI, or a related field (or higher). Equivalent experience + strong portfolio will also be considered.
Experience
- 1–3 years of hands-on experience in AI development or automation. Fresh graduates with strong project work or internship experience are welcome.
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