Hands-on internship supporting the development of AI and digital products, including software, analytics, automation, dashboards, machine learning, and generative AI solutions. Responsibilities include Python development, data preparation, API integration, testing, deployment, governance documentation, secure engineering, and collaboration with technical and business stakeholders.
About Us
CapitaLand Group (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered in Singapore, CapitaLand’s portfolio focuses on real estate investment management and real estate development, and spans across more than 270 cities in over 45 countries.
Job Description
CLD is building a lean, high-impact AI & Digital team. As a Digital & AI Intern, you will work alongside technical and business colleagues to turn real business needs into working software, analytics, automation and AI-enabled products. This is a hands-on role: you will contribute code, test ideas with users and help move solutions from prototype towards secure, maintainable deployment.
You will gain practical exposure to enterprise platforms, data integration, governance and modern engineering practices in a real estate development environment. Your work may span internal web applications, dashboards, workflow automation, machine learning and generative AI.
ResponsibilitiesSoftware & AI Product Development
- Build and improve working solutions: design, prototype and develop AI and digital products that address clearly defined business needs
- Write maintainable code primarily in Python and, where relevant, JavaScript/TypeScript, SQL or approved low-code tools
- Develop AI and LLM capabilities such as retrieval-augmented generation, prompt workflows, evaluations and appropriate guardrails under the team's guidance
- Explore and analyse data: prepare structured and unstructured data and support model development, evaluation and performance improvement where relevant
Enterprise Platform, Data & Integration
- Support end-to-end delivery from requirements and solution design through development, integration, testing, deployment and iteration
- Work with enterprise data and APIs to connect approved data sources, applications and internal workflows with support from the relevant platform teams
- Build dashboards and automation using tools such as Power BI, Microsoft Power Platform, Azure services and other approved technologies
- Improve solution performance by helping to investigate reliability, latency, logging, monitoring and cost considerations
Engineering Quality & Governance
- Apply sound engineering practices including version control, branching, code review, automated testing, CI/CD and clear technical documentation
- Build securely and responsibly by following the Company’s requirements for secure development, data classification, privacy, access control and approved technology use
- Support governance reviews by preparing architecture diagrams, technical documentation, testing evidence and risk information for project and CLI Architecture Review Board (ARB) submissions
- Evaluate technology options by researching tools, platforms and APIs and contributing evidence to build-vs-buy-vs-leverage assessments
Collaboration & Builder Enablement
- Translate business needs into clear requirements, user stories, prototypes and practical technical tasks with business analysts and stakeholders
- Work across teams with AI & Digital colleagues, the Digital & Technology Team, data owners, users and external partners where required
- Enable internal builders by creating reusable examples, guides and components and supporting governed experimentation and knowledge-sharing activities
- Communicate clearly by sharing progress, findings, risks and recommendations in concise business-oriented language
Essential
- Currently pursuing a degree or diploma in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems or a related discipline
- Hands-on programming experience in Python, gained through coursework, personal projects, internships, competitions or work experience
- Basic understanding of software development concepts such as APIs, databases, debugging, testing and documentation
- Knowledge of, or project experience in, at least one of the following: data analytics, machine learning, generative AI, LLM applications, automation or web application development
- Curious and structured problem-solver who can learn quickly, take ownership of assigned work and seek guidance appropriately
- Clear written and verbal communication skills, with the ability to work collaboratively with technical and non-technical stakeholders
Highly Preferred
- Experience with JavaScript/TypeScript, SQL, modern web frameworks, REST APIs or cloud-native application development
- Familiarity with Git, automated testing, CI/CD, containers or other modern software engineering practices
- Exposure to Azure, Databricks, Microsoft Power Platform, Power BI, Microsoft Fabric, Azure AI Foundry or Microsoft 365 Copilot
- Experience with LLM APIs, retrieval-augmented generation, model evaluation, data pipelines or analytics visualisation
- Interest in enterprise digital transformation, real estate development and the responsible adoption of AI
Closing Statement:
At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.
Only shortlisted candidates will be notified.
CapitaLand Singapore, Singapore, SGP Office
Singapore, Singapore
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