Job Description
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[2027 H1 Term-time Internship] Data AI Engineer Intern
Posting Start Date:  11/10/2026
Job Category:  Internship
Job Family:  Data Analysis & Data Management

What the role is

What the role is
At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties.

We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success.

Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results.

Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress.

At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.

Join us at #TeamCPF! Together, let's redefine possibilities and leave a legacy that echoes for generations.

What you will be working on

The Data Science Accelerator Department (DSA) drives the pervasive use of data across CPF Board to aid policy and operational decision making by providing a consolidated view of good quality data, effective governance, strong data science capabilities and modern data infrastructure and tools. As a Data AI Engineer Intern within our Data Science Accelerator team, you will contribute to building digital solutions that support CPF’s data-driven decision making and policy development. 

In this role, you will:

  • Develop, test and maintain CPF Board's data analytics platform, including the data infrastructure, data ingestion pipelines, data store and data processing on Azure Government Commercial Cloud.
  • Design, build, deploy, maintain and monitor end-to-end data projects which includes pipelines for batch and stream processing that can adequately handle the needs of a rapidly growing data-driven organisation.
  • Create processes for continuous integration and big data database management, and create scripts to facilitate operations (e.g., infrastructure-as-code and automation of tasks).
  • Build scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources, including systems that are on-premise and on cloud platforms.
  • Implement and execute data security and data quality measurements to ensure compliance with data security and data governance policies.
  • Build, maintain and evaluate AI agents using frameworks such as LangChain, LlamaIndex, or AutoGen, including the design of agentic workflows, tool integrations, and memory and retrieval components.
  • Develop and maintain data pipelines and infrastructure that support AI agent operations, including vector databases, retrieval-augmented generation (RAG) systems, and LLM API integrations.
  • Monitor and optimise AI agent performance in production, including prompt management, output evaluation, and iterative improvements based on feedback.

 

What we are looking for

We value the diverse skills and perspectives that each intern brings. While you may not need to meet every requirement fully, having some familiarity or budding expertise in the following areas will help you make the most of this opportunity and succeed with our team.

  • Currently pursuing a Degree in Information Systems, Computer Science, Computer Engineering or a related field.
  • Exposure to or working knowledge of scripts and DevOps tools, container services, Docker and Kubernetes.
  • Exposure to or working knowledge of developing, maintaining and monitoring APIs.
  • Exposure to or working knowledge of AI and LLM frameworks such as LangChain, LlamaIndex, AutoGen, or similar agentic frameworks.
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) and RAG architectures is a plus.
  • Interest in or experience with prompt engineering, LLM evaluation, and responsible AI practices.
  • Meticulous and analytical, with an ability to approach problems resourcefully.
  • Communicates clearly, both in speaking and writing.
  • Works well independently and with others, takes initiative without needing constant supervision.

Position is on a full-time internship basis from January 2027 to June 2027.

What you can expect

What you can expect
Being part of #TeamCPF means embarking on a challenging and rewarding career in a progressive workplace that values productivity and growth. Here’s what awaits you:

  • Opportunities to engage in a mix of formal and informal training, keeping your skills sharp in our ever-evolving technological landscape. 
  • Promotion opportunities based on your capability and on-the-job performance. 
  • A vibrant community of like-minded and friendly colleagues, where collaboration and creativity thrive. 
  • A hybrid work model that offers flexibility for remote work, subject to exigencies of service. 
  • Flexible dress code that empowers you to choose your appropriate outfit for the day. 
  • A comprehensive rewards package that includes annual leave, pro-family leave, medical and dental benefits, and access to recreational activities.
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