Uni Internship May to Dec 2026 - Enhancing Tandem/In-SYNc at Scale for Public Healthcare

Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
 
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

Internship Project Title:: Enhancing Tandem/In-SYNc at Scale for Public Healthcare with Data Science and AI

In Nov 2023, Synapxe has rolled out its very own GenAI platform called Tandem (formerly known as Secure GPT -- see news coverage at https://www.straitstimes.com/singapore/health/moh-agency-microsoft-to-develop-ai-tool-for-healthcare-workers-in-s-pore). At the same time, we have also released a GenAI chatbot called In-SYNc to the whole of Synapxe, which is designed to answer questions based on internal documents within Synapxe using retrieval augmented generation (RAG).

As part of our Generative AI team, you’ll work on cutting-edge projects that leverage large language models, multimodal AI, and advanced machine learning techniques to solve real-world problems. You’ll gain hands-on experience in prompt engineering, and building innovative AI-powered solutions that impact healthcare and beyond. If you’re passionate about AI, creativity, and pushing boundaries, this is your chance to learn from experts and contribute to transformative technology.

The selected intern will participate in, but is not limited to, the following:

• Explore and implement advanced AI concepts such as agentic AI, MCP servers, Retrieval-Augmented Generation (RAG), prompt engineering, and query decomposition to enhance model performance.
• Work with large language models (LLMs) and frameworks (e.g., Azure SDK, LangChain, LangGraph, etc) to build intelligent, context-aware applications.
• Develop and test AI-powered solutions for real-world use cases, focusing on improving accuracy, scalability, and user experience.
• Collaborate with senior specialists to fine-tune applications, optimize pipelines, and integrate AI into enterprise systems.
• Gain hands-on experience in Python programming, API integration, and cloud-based AI deployment
• Experiment with different tools for the evaluation of large language model (LLM) responses and mitigation of "hallucination" and other known issues in GenAI (e.g., Ragas for evaluating retrieval- and generation-specific metrics)

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Engineering, Computer Science, Data Science or related discipline
  Graduating in Dec 2026 or May 2027
• Strong coding skills in Python programming language
• Fast learner
• Hands-on experience with one or more NLP/deep learning frameworks (e.g. PyTorch, Tensorflow)
• Strong interest in GenAI technologies (Hands-on experience on either proprietary LLM with API access (e.g. GPT/anthropic/Gemini) and/or open source LLM (e.g. Llama)
• Experience with development tools like VSCode, Jupyter, Git etc.
• Hands-on software development experience demonstrable using past (Gen)AI projects
• Ability to multitask and work as part of a multidisciplinary team
• Experience in building applications (eg. Flask) preferred.
• Have basic understanding of prompt engineering techniques, RAG, agentic designs and MCP preferred.
• Have basic understanding of langchain and LangGraph framework preferred
• Good team player with strong analytical and communication skills
• Ability to multitask and work effectively as part of a multidisciplinary team
• Passionate and keen to make a difference to re-imagine the future of HealthTech