Top Artificial Intelligence Jobs in Johor Bahru

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.

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.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

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.

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.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Design polished mobile-first and web interfaces for BJAK's AI and financial products. Create wireframes, flows, prototypes and high-fidelity UI, maintain the design system, iterate from user feedback, and collaborate with PMs and engineers to ensure accessibility, responsiveness and pixel-perfect implementation.

The AI Data Analyst at Brooks interprets and manages data, influences AI solutions, supports development of AI models, and collaborates on strategies across teams.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

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.

Lead and develop a high-performing engineering team across frontend, backend and mobile. Own delivery, architecture, reliability, observability and incident response. Drive technical standards, coach engineers, improve processes and ship scalable production systems in close collaboration with product, design and AI teams.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable customer-facing systems. Drive architecture, code quality, testing, observability, incident response, and engineering processes while coaching engineers and delivering product outcomes quickly and reliably.

Lead and grow a cross-functional engineering team to design, build, and operate scalable, reliable payment and finance products. Drive architecture, code quality, observability, incident response, and delivery velocity while coaching engineers and collaborating with product, design, mobile, backend and AI teams to deliver customer-focused outcomes.

Lead technical design and delivery of scalable, reliable payments systems across backend, frontend, APIs, databases and infrastructure. Hands-on coding, code reviews, architecture decisions, mentoring, production ownership, observability and cross-team collaboration to ship high-quality products.

Lead and manage a cross-functional engineering team to design, build, and operate large-scale frontend, backend and AI-integrated products. Own delivery, architecture, reliability, testing, observability, and post-release production outcomes. Coach and grow engineers, drive technical standards, improve processes and tooling, and partner with product, design, mobile and AI teams to turn ambiguous problems into shipped customer outcomes.

Lead technical design and delivery for an AI-native email product. Hands-on role requiring system architecture, coding, code review, production debugging, reliability, mentoring, cross-functional collaboration, and improving engineering practices and tooling.

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.

Work in the CEO Office to translate CEO priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, decisions, blockers, owners and deadlines; prepare briefs, research notes, follow-ups and action trackers; coordinate cross-functional teams; identify and close execution gaps; and own urgent cross-department business problems.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.