Top Artificial Intelligence Jobs in Johor Bahru

The intern will focus on managing big data, developing dashboards, and utilizing AI for analysis within the organization.

Handle inbound/outbound customer calls, resolve inquiries and complaints, process requests and transactions, document interactions, meet quality and productivity targets, and collaborate to improve customer service processes. Provide timely, accurate information about products and services while maintaining a customer-first mindset.

Handle inbound/outbound customer calls and live chats, resolve inquiries and complaints, process requests/orders, document interactions, meet performance targets, and collaborate to improve service.

Handle inbound/outbound customer calls and live chats, resolve inquiries and complaints, process orders/transactions, document interactions, meet performance targets, and collaborate to improve service.

Manage a team of UAT testers, implement test strategies, ensure quality assurance, oversee testing processes, and foster collaboration across teams.

Manage a team of UAT testers, develop test strategies, oversee both manual and automated testing, and ensure quality assurance processes. Collaborate with cross-functional teams and implement improvements in QA methodologies.

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

The QA Engineer tests and ensures quality of Rimini Street's Agentic ERP Platform, focusing on AI features, creating automated tests, and managing defects.

Recruiters at Centific attract, screen, and select candidates for AI projects, focusing on multilingual profiles worldwide. They manage recruitment campaigns and qualifications.

The Gen AI Engineer develops and optimizes AI models for generating content and insights, collaborating with teams to enhance banking functions while ensuring compliance with regulations.

The Senior Gen AI Engineer leads the design and strategy for Generative AI use cases, focusing on user research, product management, and collaboration with cross-functional teams to drive AI innovations and solutions.

Design, build, and ship native Android features for an AI-enabled neobank using Kotlin. Collaborate with product and design, integrate backend APIs, improve performance and reliability, debug production issues, and implement on-device AI where it improves user flows.

Build and ship native Android features for an AI-enabled neobank using Kotlin. Design clean user flows, integrate backend APIs, improve performance and reliability, debug production issues, and implement on-device AI where it enhances the experience.

Lead global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and optimisation, deploy AI editorial tools, set standards for AI content, measure performance, and drive adoption across product, technology and editorial teams worldwide.

The Senior Product Designer will lead product design processes, create user-centric designs, and integrate AI into the design workflow while collaborating across teams.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Reviews and audits Simplified and Traditional Chinese AI annotation work for linguistic accuracy, consistency, and guideline compliance. Identifies recurring errors, provides feedback, escalates complex cases, supports calibration, and completes quality reviews within deadlines. The role requires strong Chinese and English proficiency, attention to detail, analytical thinking, and independent execution in a structured human-in-the-loop AI environment.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Own the roadmap and delivery of AI automation products, including reliable AI agents, tool-calling workflows, n8n automation pipelines, API integrations, and React-based interfaces. Partner with sales, content, and marketing to identify opportunities, then monitor, debug, and improve shipped solutions. The role requires strong product ownership, hands-on AI and automation experience, technical range across frontend and integrations, and fluency with LLMs and agent frameworks.

The Product Manager will shape product roadmaps, collaborate across teams, analyze data, and develop marketing materials to enhance AI products for SMBs, driving user adoption and product success.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.

Support product operations by collecting and tracking user feedback, coordinating product issues across teams, organizing requirements, analyzing basic data, maintaining web pages, and assisting with AI-related projects. The role requires cross-functional communication, problem-solving, execution skills, bilingual English and Mandarin proficiency, and availability for 3–5 days per week for at least six months.

Evaluate and annotate AI-generated multilingual and multimodal content (text, image, audio, video). Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets.

Partner with strategic APAC customers to design, prototype, and operationalize Genesys AI-driven CX solutions. Lead discovery, architecture, integrations (CRM/ERP), POCs, KPI-driven optimization, governance, compliance, and mentor teams to drive enterprise AI adoption.

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.