AI Engineer

AI EngineerJohor Bahru, Malaysia | Full-time | 2-3 Years Experience ABOUT PAND.AIPand.ai builds enterprise AI systems for some of the largest organisations in Asia. Our engineers work on real production problems where AI must integrate with existing enterprise systems, operate within security and regulatory constraints, and deliver reliable outcomes at scale. Because we work closely with our customers, our engineers don't just receive specifications. They learn to understand business problems, uncover technical constraints, and design and build complete AI systems. A FOUNDING ROLEWe are opening our AI engineering centre in Johor Bahru, and this is one of the founding engineering hires. That is not a title we are using loosely. You will be building the systems, and also the way this team works: how we structure our code, how we review it, how we test AI systems, how we take a problem from a customer conversation to something running in production. The engineers who join after you will work inside what you help establish. A senior engineer from our Singapore team will be based on site with you, so you will not be figuring it out alone. But the standards this centre is known for will be set by the first few people through the door, and we are looking for someone who wants that. THE ROLEAs a Founding AI Engineer, you will build AI-powered products and progressively learn to think and operate at the systems level, understanding how applications, models, data, infrastructure and enterprise systems fit together. As you develop, you will take increasingly complex problems from requirements and system design through implementation, deployment and production. You do not need to have worked on AI systems before. We are looking first for strong engineering fundamentals, problem-solving ability and learning velocity. But this is an intellectually demanding role with a steep learning curve. Many of the problems we work on do not have established playbooks. You will regularly encounter technologies and problems you have never seen before. Because we are a lean team, you will get unusually broad technical exposure and responsibility for your level of experience. You will learn through code review, design discussions and pairing on real production problems, while owning meaningful parts of the system yourself. You will also see the commercial side of the work, including how requirements come out of customer conversations and why enterprise constraints shape what gets built. In return, we expect you to take ownership of your learning and develop quickly. WHAT YOU'LL WORK ONBuild AI-powered applications, backend services and APIs using PythonBuild RAG, semantic search, agentic and LLM-powered systemsIntegrate AI with enterprise data, APIs, tools and business workflowsBuild product interfaces using React and TypeScriptDeploy and operate applications using Docker and cloud infrastructureDesign, debug and improve systems for reliability, security and performanceHelp establish the engineering practices this centre will run onWHAT WE'RE LOOKING FORBachelor's degree in Computer Science, Software Engineering, or a related engineering or quantitative field2-3 years of professional software engineering experienceVery strong Python. This is the core requirement, and we will test itExperience building production software, backend services or APIs that other people depended onGood understanding of databases, APIs and how software systems fit togetherStrong analytical, problem-solving and debugging abilityAble to learn unfamiliar technologies quickly and tackle problems where the answer is not immediately obviousCommunicates clearly and takes ownership of what you buildBased in or willing to relocate to Johor BahruWe care less about which frameworks are on your CV and more about the strength of your fundamentals and whether you can take an unfamiliar problem, understand it quickly, reason about it clearly and figure out how to solve it. USEFUL, BUT NOT REQUIREDExperience with LLM applications, RAG, agentic AI, React/TypeScript, Docker, cloud infrastructure or machine learning. WHO WILL THRIVE HEREIf you want to master a fixed technology stack and then rely on what you already know, this is probably not the role for you. There are easier engineering jobs. This role is for someone who wants to be intellectually stretched, become a much stronger engineer, and be able to point at something and say they built it from the start. We want to develop engineers who progress from asking: "What should I code?" then "How should I build this?" and eventually "What is the right system to build, how should we design it, and why?" OUR PROCESSShortlisted candidates will complete a Python assessment before the technical interview. We use it to see how you reason about code, not to check whether you have memorised syntax.