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Jawatan Kosong Ap di Petaling Jaya - September 2026
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ZETRIX AI BERHAD (f.k.a MY EG SERVICES BERHAD)
Undisclosed
- ️ Able to thrive and deliver in a fast-paced environment.
- ️ Deep awareness of short-form video and social trends.
- ️ Background in graphic design or motion graphics. ...
Posted
a month ago
Aetherion Dataworks Sdn Bhd
Undisclosed
- Experience with AWS / GCP / Azure, Docker, VPS hosting & deployment and CI/CD pipelines.
- Experience integrating LLMs (e.g., OpenAI, Claude, Gemini) into production systems.
- Familiarity with RAG, vector databases, embeddings, and AI orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, n8n). ...
Posted
7 days ago
MYR6,000 - MYR8,000 Per Month
- Working proficiency in Kotlin and native Android development.
- Understands the mobile app development life cycle across both native and cross-platform frameworks.
- Proficient in Flutter, Dart, RESTful API, JSON and XML. ...
Posted
23 days ago
MYR15,000 - MYR30,000 Per Month
- You have the mindset of a Staff Engineer + AI Engineer + Distributed Systems Engineer. You enjoy problems where the architecture is not obvious and conventional software engineering is not enough. You move comfortably between frontend → backend → infrastructure → data → LLMs → agents → evaluation → optimization. You do not just ask "how do we implement this?" — you ask "how do we design this so the system can eventually figure out the best way to implement and operate it itself?"
- Anthropic's Claude ecosystem · Production AI agents · MCP (Model Context Protocol) · LangGraph or equivalent orchestration frameworks · Temporal or workflow orchestration · Reinforcement learning concepts · Automated experimentation · AI evaluation frameworks · Vector databases · Autonomous coding agents · Browser/computer-use agents · Multi-agent systems · AI-native SaaS products · Open-source contributions · Leading technical architecture
- This is a 10+ year engineering role. You own architecture rather than implement tickets. You make independent technical decisions, identify architectural weaknesses proactively, mentor engineers, establish engineering standards, debug complex production systems, think about scalability from day one, understand the trade-offs between performance, cost and reliability, translate ambiguous business problems into technical systems, prototype rapidly and productionize what works, and challenge assumptions when necessary.
Posted
3 days ago
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