AI Engineers - Insurance, 50k

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 700,000 - 1,200,000; Part time

Job summary

Michael Page International (HK) Ltd is seeking an AI Engineer to join the Insurance industry in the Technology department on a temporary contract. You will deliver AI-focused technical work, including development of AI-enabled applications, backend services, and cloud-native solutions.

You will collaborate with business users and IT teams to translate requirements into technical designs, build scalable AI platforms, and ensure secure, reliable, and observable production systems.

Qualifications

• 3–5+ years of software engineering experience, preferably in AI, data, or digital projects.
• Experience in insurance, financial services, or regulated industries is advantageous.
• Experience developing web applications (React, Angular, or similar), REST APIs, and microservices.
• Strong knowledge of SQL databases; exposure to NoSQL, search engines, or vector databases.
• Hands-on experience with Azure cloud services and AI technologies (Azure OpenAI, AKS, or equivalent).
• Familiarity with AI/ML concepts such as LLMs, RAG architectures, and AI solution prototyping.
• Experience with Git, CI/CD pipelines, Docker, Kubernetes, and monitoring tools.

Responsibilities

• Develop end-to-end AI-enabled applications including frontend, backend, APIs, and AI/ML integrations.
• Build scalable AI platforms leveraging Agentic AI, MCP, and LLM services.
• Ensure solutions are secure, reliable, scalable, and maintainable.
• Develop reusable AI platform components like orchestration services and data connectors.
• Integrate AI/ML models into production systems (NLP, RAG, classification, recommendations).
• Prototype AI use cases, validate feasibility, and scale successful solutions.
• Establish engineering standards and best practices for AI development.

Skills

Analytical thinking

Documentation

Communication

Education

Bachelor's degree in Computer Science or related field

Engineering/IT discipline degree

Tools

Git

CI/CD pipelines

Docker

Kubernetes

Monitoring tools

Job description

As an AI Engineer, you will work within the Insurance industry and Technology department to deliver AI-focused technical work. You will help the organisation use technology to support its business needs during a temporary contract.

Insurance client

Description

As an AI Engineer, your main responsibilities will include:

AI Application Development

• Develop end-to-end AI-enabled applications, including frontend, backend, APIs, and AI/ML integrations.
• Build scalable AI platforms leveraging technologies such as Agentic AI, MCP, and LLM services.
• Ensure solutions are secure, reliable, scalable, and maintainable.
• Develop reusable AI platform components, including orchestration services, prompt management, data connectors, and monitoring capabilities.
• Integrate AI/ML models such as NLP, RAG, classification, and recommendation engines into production systems.
• Rapidly prototype AI use cases, validate feasibility, and scale successful solutions.
• Establish engineering standards and best practices for AI application development.

Stakeholder Engagement

• Partner with business users, product owners, and operations teams to understand requirements and identify AI-driven opportunities.
• Translate business needs into technical designs, user stories, and delivery plans.
• Support solution delivery through discovery, UAT, deployment, and post-go-live activities.
• Provide technical guidance on AI, automation, and process optimization.
• Build backend services and integrations using Node.js, Python, Java, or C#.
• Develop cloud-native solutions using Azure services such as Functions, Logic Apps, Data Factory, API Management, and container platforms.
• Design and implement data pipelines to support AI and analytics workloads.
• Collaborate with regional and group IT teams to align with enterprise architecture standards.
• Apply best practices in testing, code reviews, CI/CD, observability, and DevOps.
• Troubleshoot production issues and implement long-term improvements.
• Produce technical documentation and operational handover materials.

Profile

A successful Ai Engineers should have:

• Degree in Computer Science, Engineering, IT, or a related discipline.
• 3-5+ years of software engineering experience, preferably in AI, data, or digital projects.
• Experience within insurance, financial services, or other regulated industries is advantageous.
• Experience developing web applications (React, Angular, or similar), REST APIs, and microservices.
• Strong knowledge of SQL databases; exposure to NoSQL, search engines, or vector databases is a plus.
• Hands-on experience with Azure cloud services and AI technologies, including Azure OpenAI, AKS, or equivalent.
• Familiarity with AI/ML concepts such as LLMs, RAG architectures, and AI solution prototyping.
• Experience with Git, CI/CD pipelines, Docker, Kubernetes, and monitoring tools.
• Strong analytical, solution design, and documentation capabilities.
• Effective communicator able to bridge technical and business teams.
• Comfortable working in fast-paced, innovative, and highly collaborative environments.
• Fluent English required; Chinese is an advantage.
• AI/ML, cloud, or software engineering certifications are a plus.