Applied AI
Engineer
Job Description
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.
What You'll Do
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: Turn client briefs into working AI solutions — fast.
Test and evaluate: Continuously improve AI outputs for accuracy, tone, and performance.
Identify opportunities: Automate repetitive tasks and create measurable value for clients.
Stay up to date: Keep up with the latest AI tools and bring the best ones to the team.
What We're Looking For
Solid understanding of LLMs, prompt engineering, and AI APIs (OpenAI, Anthropic, Gemini, etc.)
Hands-on experience with automation tools like Make.com, Zapier, n8n, or similar
Comfortable working with APIs, webhooks, and integrating AI into third-party platforms
Ability to write clean, readable code in Python or JavaScript
Strong communicator who can explain technical ideas to non-technical clients
Self-starter who takes ownership and follows through
Skills & Tools
- Must have: LLMs, Prompt Engineering, OpenAI/Anthropic API, Python or JavaScript, CRM Integration, Workflow Automation, API & Webhooks
- Good to have: RAG & Vector Databases, Voice AI, Langchain/LlamaIndex, No-code/Low-code tools, Bilingual (EN & ZH)
Attitude We're Looking For
- ✔ 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
Qualifications
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.
