Top Artificial Intelligence Jobs in George Town

Lead product direction, roadmaps, and success metrics for major AI neobank app areas. Guide PMs, designers, and engineers across squads; turn regulatory and operational constraints into product decisions; drive launch quality, post-launch learning, and continuous improvement across payments, savings, investing, insurance, and travel features.

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

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.

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 deploy machine learning models, build and optimize data pipelines/ETL, perform exploratory analysis, ensure data quality, collaborate with engineering/product/business stakeholders, and deliver analytics-driven insights to support business objectives.

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.

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.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

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.