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Lead AI engineer
Lead AI engineering for commerce software, designing and scaling AI agents and retrieval systems to power enterprise marketplaces and retail media.
Lead AI Engineer
Lead AI engineering efforts to design, build, and deploy AI systems for enterprise commerce domains like marketing or finance, using LLMs, agents, and cloud infrastructure.
Senior AI Engineer
Build and deploy production-grade AI systems, including LLMs, RAG, and AI agents, to power intelligent commerce features for Mirakl’s marketplace platform.
RAG & AI Agent Engineer — Production, Observability
Build and deploy AI-powered features like RAG pipelines and agent systems using Python/TypeScript and LLM frameworks (OpenAI, Anthropic, LangChain/LlamaIndex).
Associate Lead Data Scientist
Lead AI/ML engineering projects, building and deploying LLM applications with RAG pipelines and MLOps tooling.
AI Architect
Designs and leads enterprise AI solutions for clients, focusing on Google Cloud's Vertex AI and GenAI stacks, while building an internal AI Lab and mentoring engineers.
[CMI] AI engineer
Build and deploy LLM-powered AI systems, RAG pipelines, and agent workflows using Python and cloud platforms for enterprise clients.
Generative AI Solution Architect [up to RM 20k]
Design and deploy enterprise-grade generative AI solutions on Azure, building RAG pipelines and fine-tuning LLMs with PyTorch/TensorFlow for a financial services client.
Technical Architect – Data & AI
Design and lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Machine Learning Engineer Engineering Kuala Lumpur, Malaysia
Build and deploy LLM-powered AI agents that automate carbon accounting, extract insights from sustainability data, and recommend decarbonization strategies for enterprise clients.
AI / ML Engineer
Build and deploy AI features for a regulated professional-services group, focusing on grounded LLM workflows, safety guardrails, and compliance-ready monitoring in Azure.
AI Architect – GenAI & ML
Design and deploy production-grade GenAI and ML solutions on Azure, including RAG pipelines, LLM apps, and evaluation frameworks while leading AI initiatives end-to-end.
AI Solutions Engineer
Build and deploy enterprise AI systems like RAG pipelines and AI assistants, integrating LLMs and optimizing performance under senior guidance.
Mid & Senior AI Engineer (Agentic AI & LLM Systems)
Build and deploy LLM-driven AI agents and chatbots using Python and Docker, from architecture to production monitoring.
Senior AI Engineer
Build and deploy agentic chatbots using Google ADK, Vertex AI, and multi-agent workflows; optimize LLM performance and integrate with enterprise systems.
Applied AI Engineer
Build and deploy AI-powered tools and products for a fintech platform, using LLMs, RAG, and agentic workflows to automate workflows and enhance customer experiences.
Data Scientist – Enterprise AI Solutions
Build and deploy AI/ML models, RAG pipelines, and Generative AI solutions for clients in banking and healthcare using Python, LLMs, and enterprise platforms like Azure ML and Databricks.
Senior Software Engineer – Enterprise AI Solutions
Senior Software Engineer building enterprise-grade AI solutions like conversational AI, RAG platforms, and AI agents for banking and healthcare clients using Python/Java/Node.js, React/Vue.js, and cloud platforms.
AI Software Engineer
Build and deploy AI-powered applications using LLMs, RAG, and agentic workflows; integrate models like OpenAI and Anthropic into enterprise systems with Python/TypeScript.
Data Scientist – Enterprise AI Solutions
Build and deploy AI/ML models, RAG pipelines, and generative solutions using Python and enterprise platforms to deliver predictive analytics and business insights.