Agentic AI Engineer Intern

Zurich Services (Hong Kong) Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Zurich in APAC seeks an AI engineer to design agentic AI systems that handle multi-step reasoning, tool use, and autonomous decision-making across real business workflows. You will build AI-powered applications using large language models, including prompt engineering and RAG pipelines, and deploy them on Azure in production.

You will collaborate with stakeholders to map workflows, integrate structured and unstructured data, and scale solutions with Docker, FastAPI, Celery, and GitHub Actions,

Qualifications

• Ongoing or completed bachelor’s or master’s in CS, Math, or Data Science.
• Ability to drive solutions from idea to delivery.

Responsibilities

• Design and build agentic AI systems handling multi-step reasoning, tool use, and autonomous decisions across real business workflows.
• Develop AI-powered apps using large language models, including prompt engineering and RAG pipelines.
• Build and deploy AI-driven solutions using frameworks like FastAPI and Celery, containerized with Docker and GitHub Actions.
• Integrate agents with structured and unstructured data sources for reliable operation.
• Collaborate with stakeholders to map workflows and re-engineer them as agentic solutions.
• Architect and scale solutions on Azure for production use.
• Monitor, evaluate, and iterate on deployed AI systems with observability as a core concern.

Skills

Python

LLMs

Data Science

Business Communication

Education

Bachelor's or Master's in Computer Science, Mathematics, Data Science

Tools

Docker

FastAPI

Celery

GitHub Actions

Job description

Zurich in APAC seeks an AI engineer to design agentic AI systems that handle multi-step reasoning, tool use, and autonomous decision-making across real business workflows. You will build AI-powered applications using large language models, including prompt engineering and RAG pipelines, and deploy them on Azure in production.

You will collaborate with stakeholders to map workflows, integrate structured and unstructured data, and scale solutions with Docker, FastAPI, Celery, and GitHub Actions,