Uni Internship May to Oct 2025 - Enhancing Gen AI and Platform at Scale for Public Healthcare

Date: 7 Jan 2025

Location: SG

Company: Synapxe

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.

 

In Nov 2023, Synapxe has rolled out its very own GenAI platform called Tandem. 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).

 

The intern will have a rare opportunity to gain hands-on experience working on a live GenAI platform/application within the public healthcare industry. Given that the GenAI platform/application is live, the requirements may dynamically evolve depending on user requirements. 

 

The candidate will have the opportunity to leverage on our team's public Azure account for their GenAI development work, such as:

  • Experiment with different LLM frameworks to be adopted for healthcare use cases (e.g. LangGraph for efficient routing of queries across different knowledge bases)
  • Experiment with multimodal GenAI capabilities to unlock greater value from organisational data (e.g. speech-to-text technologies for effective transcription of meeting notes)
  • 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 Science, Computer Engineering, Data Science or related discipline
  • Graduating in Dec 2025 or May/Dec 2026
  • Strong coding skills in Python programming language and hands-on experience with one or more NLP/deep learning frameworks (e.g. PyTorch, Tensorflow)
  • A keen interest in in GenAI technologies (Preferred - Use of proprietary LLM with API access (e.g. GPT-4o) and/or open source LLM (e.g. Llama 3))
  • Experience with development tools like VSCode, Jupyter, Git etc, 
  • Experience with demonstrable software development using past (Gen)AI projects
  • 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

 

 

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