AI Engineering Intern

Zurich Insurance; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Zurich Insurance seeks a hands-on AI engineer to design and ship agentic AI systems that perform multi-step reasoning, tool use, and autonomous decision-making in real business workflows. You will build AI-powered applications with LLMs, craft prompt strategies, and deploy pipelines using Docker and GitHub Actions.

You will integrate agents with structured and unstructured data sources, collaborating with stakeholders to re-engineer workflows for better decisions.

Qualifications

• Strong ability to drive solutions from idea to delivery.
• Experience building AI-powered applications and pipelines.
• Familiarity with integrating structured and unstructured data sources.

Responsibilities

• Design and build agentic AI systems for multi-step reasoning and tool use across real workflows.
• Develop AI-powered applications using LLMs, including prompt engineering and RAG pipelines.
• Deploy AI-driven solutions using frameworks like FastAPI, Celery, and containerized with Docker and GitHub Actions.
• Integrate agents with data sources, enabling memory and retrieval layers for reliability.
• Collaborate with business 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 strong observability.

Skills

Python

LLMs

Data Science

Data Wrangling

Business Communication

Education

Bachelor's or Master's in CS/Math/Data Science

Tools

Docker

GitHub Actions

Azure

Job description

Who We Are

150+ years of trust. A team that’s rebuilding what’s possible.

Zurich is one of the world's leading multi-line insurers, serving people and businesses across more than 200 countries and territories for over 150+ years. We protect communities against some of the most complex and fast-moving risks of our time: climate change reshaping entire economies, and technology fundamentally altering how people live and work.

The Role

Your code will reach real users, on day one.

• Design and build agentic AI systems that handle multi-step reasoning, tool use, and autonomous decision-making across real business workflows
• Develop AI-powered applications using large language models, including prompt engineering and RAG pipelines
• Build and deploy AI-driven solutions using a mix of frameworks and approaches including FastAPI, Celery, and other task orchestration patterns, containerized with Docker and shipped via GitHub Actions
• Integrate agents with structured and unstructured data sources, equipping them with the right tools, memory, and retrieval layers to operate reliably
• Collaborate with business stakeholders to map existing workflows and re-engineer them as agentic solutions that reduce manual effort and surface better decisions
• Architect and scale solutions on Azure for production use
• Monitor, evaluate, and iterate on deployed AI systems, treating observability as a first-class concern

What We’re Looking For

Skills & Experience

Ongoing or completed bachelor's or master's degree in Computer Science, Mathematics, Data Science, or a related field. We care most about your ability to drive solutions from idea to delivery — the rest we can work with.

Core Skills

• Python
• LLMs
• Data Science
• Data Wrangling
• Business Communication

Nice to have (and skills you can expect to develop in this role)

• Azure
• GitHub CI/CD
• Context Engineering
• Solution Architecture
• Projects that delivered measurable value are a big plus — bring something you can walk through end to end
• Experience handling both structured and unstructured data (SQL, NoSQL, free text, images, web data)
• Familiarity with agent engineering patterns: tool use, memory, multi-agent orchestration, and evaluation

What You Will Gain

More than a line in your resume

• Production impact – Your code reaches real customers across APAC markets, running in production from day one
• Agentic AI at scale - Build multi-step reasoning systems and GenAI pipelines that run against real business problems
• Enterprise cloud - Hands-on Azure at scale, with real compliance constraints that teach you things a side project never will
• Direct stakeholder access - You'll sit in on real business conversations and shape solutions from the start