About this role
The intern will develop and evaluate multi-agent AI workflows for healthcare applications using modern frameworks and cloud platforms. Responsibilities include designing agent orchestration topologies, implementing production layers on AWS Bedrock, and establishing governance guardrails.
Candidates should be Year 2 or 3 undergraduates in Computer Science, Data Science, or related fields with strong Python proficiency. Familiarity with Generative AI concepts, agent frameworks, and cloud platforms is required or preferred.
What they're looking for
PythonGenerative AIRAGLLM APIsLangChainLlamaIndexStrands Agents SDKAPI Integration
Frequently asked questions
What does a Uni Internship Jan to July 2027 - Multi-Agent AI Systems: Orchestrating Agentic Workflows at Synapxe do?
The intern will develop and evaluate multi-agent AI workflows for healthcare applications using modern frameworks and cloud platforms. Responsibilities include designing agent orchestration topologies, implementing production layers on AWS Bedrock, and establishing governance guardrails. Candidates …
What skills does this Uni Internship Jan to July 2027 - Multi-Agent AI Systems: Orchestrating Agentic Workflows role need?
Key skills for this role include Python, Generative AI, RAG, LLM APIs, LangChain, LlamaIndex.
How much does a Uni Internship Jan to July 2027 - Multi-Agent AI Systems: Orchestrating Agentic 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 - Multi-Agent AI Systems: Orchestrating Agentic 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 - Multi-Agent AI Systems: Orchestrating Agentic 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.