Top Artificial Intelligence Jobs in Malaysia

Design, build, and maintain high-performance backend services and APIs using Java/Spring Boot. Develop and productionize recommendation algorithms and LLM systems, optimize LLM workloads (including on-prem), ensure scalability, reliability, and security, and collaborate across time zones with product and project teams to own end-to-end architecture.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Early-career research role designing and running experiments on LLM reasoning, post-training alignment, and test-time scaling. Implement model variants and training pipelines in PyTorch/Hugging Face, evaluate on crypto-native data, maintain experiment tracking (W&B), and partner with engineering to translate research to production.

Lead AI-driven growth product strategy to improve acquisition, activation, retention, cross-sell, and churn reduction. Design viral loops and referral programs, use data and user insights to inform features, manage roadmaps, run experiments, and collaborate with marketing, operations, and engineering to optimize user funnels and drive scalable organic growth.

Six-month early-career internship building LLM-powered agent workflows and production AI components. You'll design prompts, retrieval and tool-use logic, run benchmarks, improve quality/latency/reliability/safety, contribute to backend services/APIs, and ship working prototypes alongside full-time engineers.

Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.

Design and develop high-performance backend services for an AI-powered trading assistant: build AI agent execution, trading order execution, AI sub-account and API key lifecycle management, integrate Binance trading APIs, implement skills/tool-calling frameworks, and ensure scalable, low-latency real-time data pipelines, observability, and security.

Responsible for functional and API testing of platform products, designing and executing end-to-end tests across frontend, backend, strategy, and algorithms. Validate personalized user experiences, improve test coverage and QA processes, and drive adoption of AI-assisted test generation and automation. Collaborate with Product, Engineering, Algorithm, and Strategy teams to identify issues and ensure quality.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Lead global AI-first transformation for legislative content: define strategy, prioritise AI-enabled content generation and optimisation, deploy AI-driven editorial tools, set standards, measure performance, and build editorial AI capability across regions.

Design, build, and deploy Python-based microservice APIs that call LLMs and generative models to automate business processes and support game services. Translate business requirements into API specs, integrate services across systems, collaborate with DevOps for cloud deployments, optimize AI model performance, write and debug core AI code, and communicate with cross-functional stakeholders.

Remote, project-based role testing AI chatbots in voice mode using Cantonese (Mainland China variant). Speak to chatbots via smartphone using predefined prompts, pursue conversation goals, then rate interactions in English on a laptop. Work follows detailed guidelines, confidentiality rules, and may require varied environments. Flexible hours; workload varies.

The Senior Gen AI Engineer will develop AI applications using advanced technologies in AI/ML, collaborate with teams for integration, and ensure compliance with data governance policies.

Design, build, and deploy AI/ML and GenAI solutions (LLMs and AI agents) for IT automation and AIOps. Lead solution ownership in Agile, develop/run machine learning models, integrate open-source and proprietary LLMs, build runbook executors (PowerShell/Python), work with cloud and container platforms, engage stakeholders, and document automation and models.

The Software & AI Platform Engineer designs and develops software platforms for automation and AI-driven operations in semiconductor manufacturing, facilitating data processing and real-time analytics while collaborating with cross-functional teams.

The Data & AI Pre-sales Specialist will engage with enterprise clients to provide data and AI solutions, conduct assessments, and guide strategy development. This role also involves pre-sales technical design and market engagement with key tech partners.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Record short video and/or audio clips and transcribe/listen to media to provide expressive, emotionally varied voice data for AI training; tasks are remote, project-based, and assigned based on fit and availability.

Record short video and audio clips with expressive vocal performances; transcribe and label audio/video content. Flexible, remote, project-based work; assignments matched by fit and availability.