Hands-on AI Engineer: Build Production‑Ready AI Apps

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

Job summary

Zurich Services (Hong Kong) Limited is seeking a hands-on AI Engineer to turn business problems into secure, scalable AI-enabled solutions. You will design, build, ship and continuously improve AI products that integrate with enterprise data and APIs.

The role emphasizes ownership from discovery through production, collaboration with business, product, data and technology teams, and strengthening engineering practices in a growing AI team.

Qualifications

• 5-8 years of hands-on software, data or AI engineering experience with production delivery.
• Strong Python engineering skills and backend services & APIs.
• Hands-on experience with FastAPI or a similar Python API framework.
• Practical GenAI/LLM delivery including RAG pipelines or AI agents.
• Experience with cloud delivery on Azure or AWS and containerized environments.
• Understanding of secure, scalable software and enterprise data integration.

Responsibilities

• Build and ship AI-enabled applications from prototype to production with quality and reliability.
• Design applied AI architectures including LLMs, agents and retrieval workflows.
• Develop robust backend services, scalable APIs and asynchronous processing.
• Integrate AI services with enterprise data sources, APIs and user interfaces.
• Implement testing, monitoring, guardrails and security controls for trust.
• Operate and optimize performance, reliability, latency and cost after deployment.
• Contribute to CI/CD, infrastructure-as-code and engineering patterns.
• Collaborate across business, product and technology teams to uplift the team.

Skills

Python

LLM / GenAI

Async processing

RAG pipelines

CI/CD

Azure / AWS

APIs / microservices

Tools

FastAPI

Job description

Zurich Services (Hong Kong) Limited is seeking a hands-on AI Engineer to turn business problems into secure, scalable AI-enabled solutions. You will design, build, ship and continuously improve AI products that integrate with enterprise data and APIs.

The role emphasizes ownership from discovery through production, collaboration with business, product, data and technology teams, and strengthening engineering practices in a growing AI team.