Artificial Intelligence Engineer

Job description:Applied AI, Full-Stack Development & QA AutomationReporting to: Chief Technology OfficerWork location: In personEligibility: Malaysian citizens onlyAbout the RoleWe are looking for an AI Software Engineer with strong development fundamentals and a genuine passion for building practical, production-ready AI systems.You will work directly with the CTO across two key platforms:A transaction-critical platform supporting sales, payments, inventory, customers, reporting, and enterprise integrations.An AI-powered application that enables users to work with documents, databases, business data, and external information through natural language.This is a hands-on mid-level role covering applied AI, full-stack development, system modernisation, and automated quality assurance.What You Will Work OnAI assistants that understand user intent and complete multi-step tasks.Context engineering, prompt design, conversation state, long-term memory, and personalisation.Agent skills, tool calling, workflow orchestration, and AI automation.Retrieval-augmented generation, document ingestion, embeddings, semantic search, reranking, and vector databases.Natural-language querying of databases, spreadsheets, documents, and business information.AI evaluation, regression testing, observability, latency, reliability, security, and cost optimisation.Transactional features involving sales, payments, inventory, reconciliation, reporting, and enterprise integrations.Frontend applications, backend services, REST APIs, databases, and cloud deployment.Refactoring and modernising existing systems without introducing regressions.QA and Test AutomationBuild and maintain automated unit, integration, API, regression, and end-to-end tests.Develop browser automation using Playwright and related testing tools.Automate critical user journeys across transactional and AI-powered workflows.Create repeatable evaluation suites for AI routing, retrieval, memory, tool usage, response quality, and failure handling.Integrate automated testing into CI/CD pipelines.Investigate failed tests and production issues to identify and fix their root causes.Technology StackPythonReactJavaScriptHTML5 and CSS3PostgreSQLVector databasesREST APIsAzure CloudPlaywrightGit, CI/CD, logging, monitoring, and DevOps toolsAI Development ToolsWe actively use:Claude CodeOpenAI CodexChatGPTOther relevant AI engineering and automation toolsYou will use these tools for codebase investigation, context engineering, implementation, debugging, refactoring, test automation, documentation, and technical planning.All AI-generated work must be reviewed, tested, and validated before production use.RequirementsThree or more years of professional software development experience.Strong experience with Python, JavaScript, APIs, SQL, and backend development.Experience with React and production web applications.Experience with PostgreSQL or similar relational databases.Practical experience using AI coding tools in software development.Interest or experience in LLMs, RAG, agents, memory, context engineering, vector databases, or AI automation.Experience with automated testing; Playwright experience is advantageous.Ability to understand, debug, and improve large or unfamiliar codebases.Strong analytical, debugging, and root-cause problem-solving skills.Comfortable learning quickly and working across the full stack.What We Look ForGenuine passion for AI engineering beyond basic prompting.Curiosity about how AI systems understand context, retain memory, retrieve information, use skills and tools, and complete tasks.Strong engineering judgement and discipline in validating AI-generated work.Preference for root-cause solutions over hardcoded or temporary workarounds.High ownership and the ability to carry work through development, testing, and production.Ability to move quickly without compromising reliability or maintainability.Why Join UsWork directly with the CTO on core software and AI initiatives.Build production AI capabilities used in real business operations.Gain hands-on exposure to AI agents, context engineering, memory, automation, enterprise systems, and full-stack development.Help shape the organisation’s AI engineering and automated testing practices.Contribute to architecture and technical direction.Grow into greater technical ownership and leadership responsibilities.BenefitsAdditional leaveDental, health, and vision insuranceFlexible scheduleFree parkingMaternity and parental leaveCareer development and promotion opportunitiesBenefits:Flexible scheduleFree parkingHealth insuranceMaternity leaveOpportunities for promotionParental leaveProfessional development