About this role
The intern will help advance Generative AI adoption in Singapore's public healthcare sector by enhancing AI-powered applications and RAG solutions. Responsibilities include implementing agentic AI, optimizing LLM performance, and developing real-world healthcare use cases.
Candidates should be Year 2 or 3 undergraduates in Computer Science, Data Science, or related fields with strong Python and NLP skills. Experience with LLMs, software development, and frameworks like LangChain is highly preferred.
What they're looking for
PythonGenerative AIRetrieval-Augmented Generation (RAG)Prompt EngineeringLarge Language ModelsLangChainLangGraphNLP
Frequently asked questions
What does a Uni Internship Jan to July 2027 - Scaling Generative AI for Public Healthcare at Synapxe do?
The intern will help advance Generative AI adoption in Singapore's public healthcare sector by enhancing AI-powered applications and RAG solutions. Responsibilities include implementing agentic AI, optimizing LLM performance, and developing real-world healthcare use cases. Candidates should be Year …
What skills does this Uni Internship Jan to July 2027 - Scaling Generative AI for Public Healthcare role need?
Key skills for this role include Python, Generative AI, Retrieval-Augmented Generation (RAG), Prompt Engineering, Large Language Models, LangChain.
How much does a Uni Internship Jan to July 2027 - Scaling Generative AI for Public Healthcare at Synapxe pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Uni Internship Jan to July 2027 - Scaling Generative AI for Public Healthcare role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Uni Internship Jan to July 2027 - Scaling Generative AI for Public Healthcare role?
You can apply directly on Synapxe's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.