What you will be working on
The Business Incubator and Accelerator Department (BIA) propels the development of new product ideas and business models by small competent cross-functional teams. We drive CPFB's innovation framework, including supporting the idea-to-solution journey, enhancing knowledge diffusion and evangelising technology adoption. This includes cultivating a culture of curiosity and proactive involvement among staff through a range of initiatives centred on innovation.
You will engage in early-stage, exploratory work, helping to make sense of problem spaces and figuring out together what, if anything, should be built. Rather than working on pre-defined projects, you'll be involved in shaping the direction from the ground up. If you thrive in ambiguous environments, enjoy questioning assumptions, and find the messy front-end of problem-solving energising rather than frustrating, this could be the right fit for you.
The AI Performance Engineer intern evaluates, diagnoses, and improves GenAI and agentic AI systems across CPF Board, while building organisational capability in AI performance engineering. This role bridges the gap between building AI systems that work and AI systems that work well in production, applying systematic evaluation and improvement practices to ensure AI systems deliver value.
In this role, you will:
- Design and execute evaluation frameworks using LLM-as-judge, human evaluation protocols, and automated test suites.
- Systematically diagnose AI system failure modes (wrong tool selection, missed context, inconsistent outputs).
- Iterate on prompts, tool definitions, agent workflows, and context engineering to improve outputs.
- Build regression testing and benchmarking pipelines.
- Collaborate with product and engineering teams to define quality standards.
- Develop playbooks, guides, and reusable templates on AI evaluation and performance improvement.
- Support workshops and knowledge-sharing sessions for IT teams.
- Document patterns, anti-patterns, and lessons learned.
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, LangGraph, or LlamaIndex 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.
- Curious about AI/LLMs and interested in how they work, where they fall short, and how to think critically about their outputs and real-world usefulness.
- Analytical mindset with an interest in user research and testing. Able to frame simple experiments, make sense of information, and draw tentative conclusions.
- Comfortable with ambiguity and uncertainty, able to make progress without fully defined requirements while being transparent about areas that need clarification.
- Inherently curious, thoughtful and comfortable to communicate your views openly. Willing to challenge the 'right' answer for a given problem.
- Works well independently and with others, takes initiative without needing constant supervision.
Position is on a full-time internship basis from May 2026 to December 2026.