Platform Engineer (InsurTech, AI)

Salary: Negotiable

Job Details

• Build and operate AI-enabled data products for insurers and fleet operators.
• Develop data pipelines that ingest, standardise and enrich telemetry from sources such as dashcams, fleet platforms and robot consoles.
• Build and maintain APIs, query endpoints and user interfaces that enable underwriters, customers and AI agents to access risk insights.
• Own production infrastructure, including cloud environments, CI/CD, observability, security, data residency and on-call support.
• Deliver and support third-party integrations, including fleet onboarding, vendor API changes and data-quality investigations.
• Build internal tools and automate recurring operational processes.
• Work directly with underwriters and fleet operators to translate business needs into practical technical solutions.
• Contribute to an evolving product direction as the company develops its pricing engine into AI-ready infrastructure.

Requirements

• 3-5 years hands-on experience in backend, data-platform, full-stack or infrastructure engineering within a production environment
• Proven experience building production data pipelines, APIs, integrations and scalable cloud systems.
• Experience working with AI coding agents and AI-assisted development workflows.
• Ability to design reliable, well-tested codebases that enable safe and effective use of coding agents.
• Experience building APIs or data products for AI agents, LLM applications or automated decisioning workflows is highly preferred.
• Familiarity with data modelling, event-driven systems, geospatial or telemetry data is an advantage.
• Strong knowledge of CI/CD, infrastructure as code, monitoring, incident management and production support

Click "Apply Now" to apply for this position or call Stella Tang at +852 3180 4977 for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.