🤖 AI ENGINEER (LLM / FULL-STACK / CLOUD)
Job ID: 9290
📍 Location: Shah Alam
🏢 Work Mode: 100% Onsite
🧠 Experience: 4–6 Years
This is not a research role.
This is for engineers who build, ship, and integrate AI into real business systems.
If you’ve already worked with LLMs, RAG pipelines, APIs, and cloud deployments — and want to move faster with real ownership — this role is for you.
🎯 WHAT YOU’LL ACTUALLY DO
1️⃣ Build Real AI Use Cases
Work with business teams to identify high-impact AI opportunities
Design and deliver LLM solutions using:
RAG pipelines
Tool-based agents
Prompt chains & workflows
Prototype using OpenAI, Azure OpenAI, Claude, Gemini, or similar platforms
2️⃣ Architect & Integrate AI Solutions
Design modern AI architectures:
Simple LLM apps
RAG systems
Multi-agent frameworks
Build APIs, middleware, or front-end apps to embed AI into business workflows
Use vector databases (Pinecone, FAISS, Weaviate) for semantic search
Deliver scalable, cloud-ready enterprise solutions
3️⃣ Full-Stack AI Development
Front-end: React, Next.js (or similar)
Back-end: Python, Node.js, FastAPI
Secure authentication, role-based access, clean UX
Build AI systems people actually use
4️⃣ Prompt Engineering That Works
Design, test, and optimize prompts
Implement few-shot, chain-of-thought, function calling
Tune for accuracy, reliability, and business relevance
5️⃣ Orchestration & Automation
Use frameworks like:
LangChain
LlamaIndex
Semantic Kernel
Build modular, reusable AI pipelines
6️⃣ Testing, Monitoring & Improvement
Evaluate models for:
Accuracy
Hallucination rate
Latency
Monitor production performance and iterate fast
7️⃣ Cloud, DevOps & Deployment
Deploy on AWS, Azure, or GCP
Use Docker & Kubernetes
Apply CI/CD, MLOps, observability best practices
8️⃣ Documentation & Standards
Document workflows, data flows, integrations
Build reusable components & prompt templates
Share AI best practices across teams
🔥 TOP 5 MUST-HAVE SKILLS
✔ Full-stack development (frontend + backend)
✔ Hands-on LLM, RAG, orchestration frameworks
✔ Cloud platforms + containerized deployments
✔ APIs, microservices, system integration
✔ Vector databases & retrieval systems
Bonus if you have:
AI project portfolio / GitHub / production deployments
Strong curiosity for emerging AI tech
🧠 WHO THIS ROLE IS FOR
Engineers who ship, not just experiment
Developers ready to own AI solutions end-to-end
Builders comfortable working onsite and collaborating closely
People who can translate business problems → AI systems
📩 APPLY / CONTACT (DON’T OVERTHINK IT)
Apply Now: https://forms.gle/5mn2Kyd2ysXk2LBG7
WhatsApp CV: https://wa.link/5pv88e
Confidential Discussion: https://wa.link/lptg0z
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