About this role
The intern will enhance AI-powered applications and GenAI platforms to support public healthcare professionals in Singapore. Key tasks include implementing advanced AI concepts like RAG and agentic AI to improve healthcare operations and user experience.
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 GenerationLangChainLangGraphNLPDeep LearningPyTorch
Frequently asked questions
What does a Uni Internship Jan to July 2027 - Enhancing Tandem/In-SYNc at Scale for Public Healthcare at Synapxe do?
The intern will enhance AI-powered applications and GenAI platforms to support public healthcare professionals in Singapore. Key tasks include implementing advanced AI concepts like RAG and agentic AI to improve healthcare operations and user experience. Candidates should be Year 2 or 3 undergraduat…
What skills does this Uni Internship Jan to July 2027 - Enhancing Tandem/In-SYNc at Scale for Public Healthcare role need?
Key skills for this role include Python, Generative AI, Retrieval-Augmented Generation, LangChain, LangGraph, NLP.
How much does a Uni Internship Jan to July 2027 - Enhancing Tandem/In-SYNc at Scale 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 - Enhancing Tandem/In-SYNc at Scale 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 - Enhancing Tandem/In-SYNc at Scale 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.