CapitaLand

Asset-light global real estate investment manager

Digital & AI Intern

AI Application EngineeringConfirmed live in the last 24 hours

InternshipSingaporeNo salary listedIn-person

About the Job

Requirements

The candidate must be currently pursuing a degree or diploma in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline.
The candidate must have hands-on programming experience in Python, gained through coursework, personal projects, internships, competitions, or work experience.
The candidate must have a basic understanding of software development concepts such as APIs, databases, debugging, testing, and documentation.
The candidate must have knowledge of, or project experience in, at least one of data analytics, machine learning, generative AI, LLM applications, automation, or web application development.
The candidate must be able to learn quickly, take ownership of assigned work, and seek guidance appropriately.
The candidate must have clear written and verbal communication skills and be able to work collaboratively with technical and non-technical stakeholders.

Responsibilities

Design, prototype, and develop AI and digital products that address 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.
Prepare structured and unstructured data and support model development, evaluation, and performance improvement where relevant.
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 relevant platform teams.
Build dashboards and automation using tools such as Power BI, Microsoft Power Platform, Azure services, and other approved technologies.
Help investigate reliability, latency, logging, monitoring, and cost considerations to improve solution performance.
Apply engineering practices including version control, branching, code review, automated testing, CI/CD, and clear technical documentation.
Follow company requirements for secure development, data classification, privacy, access control, and approved technology use.
Prepare architecture diagrams, technical documentation, testing evidence, and risk information for governance reviews and project and CLI Architecture Review Board submissions.
Research tools, platforms, and APIs and contribute evidence to build-vs-buy-vs-leverage assessments.
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.
Create reusable examples, guides, and components and support governed experimentation and knowledge-sharing activities for internal builders.
Share progress, findings, risks, and recommendations in concise business-oriented language.

Desired Qualifications

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.

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.

Responsibilities

Software & 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

Qualifications

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.

About the Company

CapitaLand

Asset-light global real estate investment manager

CLI is a global real estate investment manager that operates with an asset-light, fee-based model. It earns fees by managing real estate assets and investments for clients, rather than owning and developing properties itself, and uses a diversified platform spanning development, asset management, and lodging with capital recycled through REITs. Unlike many peers, CLI separates the capital-intensive development business from its fee-generating asset-management platform, leveraging its history as Singapore’s national champion to monetize stabilized assets. Its goal is to become a leading global platform for real estate investment management and to unlock value for shareholders by scaling its fee-based business and broadening access to real estate investments.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Singapore, Singapore
Founded: 2000

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