About this role
Develop, evaluate, and prototype agentic AI workflows and tool-augmented LLMs for healthcare use cases. Conduct literature reviews, perform model benchmarking for private deployment, and support proof-of-concept implementations.
Undergraduate student in Year 2 or 3 pursuing a degree in Computer Science, Data Science, or a related technical field. Requires strong Python proficiency and a deep interest in Generative AI and LLM frameworks.
What they're looking for
PythonGenerative AILarge Language ModelsAgentic AIRetrieval-Augmented GenerationGitHubDockerOllama
Frequently asked questions
What does a Uni Internship Jan to July 2027 - Developing and Evaluating Agentic AI Workflows at Synapxe do?
Develop, evaluate, and prototype agentic AI workflows and tool-augmented LLMs for healthcare use cases. Conduct literature reviews, perform model benchmarking for private deployment, and support proof-of-concept implementations. Undergraduate student in Year 2 or 3 pursuing a degree in Computer Scie…
What skills does this Uni Internship Jan to July 2027 - Developing and Evaluating Agentic AI Workflows role need?
Key skills for this role include Python, Generative AI, Large Language Models, Agentic AI, Retrieval-Augmented Generation, GitHub.
How much does a Uni Internship Jan to July 2027 - Developing and Evaluating Agentic AI Workflows 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 - Developing and Evaluating Agentic AI Workflows 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 - Developing and Evaluating Agentic AI Workflows 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.