[2027 H1 Term-time Internship] AI Performance Engineer Intern Job Details

Job Description

[2027 H1 Term-time Internship] AI Performance Engineer Intern

Posting Start Date: 01/09/2026

Job Category: Internship

Job Family: Infocomm Technology & Smart Systems

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 AI Enablement Office (AEO) aims to enable and drive AI adoption across the Board. The AI Performance Team, part of AEO, works hand-in-hand with product teams across CPF Board (CPFB) to evaluate and improve the performance of AI products — from defining what "good" looks like, to diagnosing where AI systems fall short, to closing the gap so they work reliably in production. Alongside this, the team builds organisational capability in AI performance engineering through the development of guidelines and playbooks.

You will be part of early-stage, exploratory work, helping to make sense of a problem space and figuring out together what, if anything, should be built. This is not a role with a neatly scoped project waiting for you. If you thrive in ambiguity, enjoy questioning assumptions, and find the messy front-end of problem-solving energising rather than frustrating, this might be the right fit.

In this role, you will:

Work with product teams across the AI software development lifecycle (SDLC), from scoping to post-deployment.
Build evaluation datasets, including golden sets and edge cases from real usage.
Set up evaluation pipelines using LLM-as-judge, human review, and automated tests.
Set up post-deployment monitoring to catch drift and regressions early.
Diagnose failure modes (wrong tool selection, missed context, inconsistent outputs) and fix prompts, tool definitions, and agent workflows.
Define quality standards and release criteria with product and engineering teams.
Develop playbooks and templates so teams can run evaluations on their own.

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 Computer Science, Information Systems, Business Analytics, Data Science, or a related field.
Familiarity with Large Language Model (LLM) APIs and core concepts (tokens, context windows, temperature, tool use).
Hands-on experience with frameworks like LangChain and LangGraph is advantageous but not essential.
Some experience or genuine interest in coding, low-code tools, APIs, or AI-assisted development; familiarity with JavaScript/TypeScript, Python, or similar is a bonus, not a requirement.
Analytical mindset with an interest in user research and testing; able to frame simple experiments, make sense of information, and draw tentative conclusions, including designing surveys or feedback mechanisms, analysing user behaviour and adoption patterns, and providing actionable insights to improve digital products.
Curious about AI and LLMs, with an interest in how they work, where they fall short, and how to think critically about their outputs and real-world usefulness.
Comfortable with ambiguity and honest about it; able to make progress without a fully defined brief, without overstating clarity you don't have.
Inherently curious, thoughtful, and willing to challenge assumptions and communicate views openly, including knowing when to pause and check in.
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
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.