2 days ago
Kuala Lumpur, MalaysiaSenior / Staff+
Responsibilities
- Lead the design and development of production AI systems for insurance workflows.
- Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
- Own end-to-end AI system design, including inference pipelines and fallback strategies.
- Drive engineering decisions regarding latency, reliability, cost, and scalability.
- Implement observability systems for logging, monitoring, and alerting.
- Review and guide backend AI implementation across engineering teams.
- Collaborate with product, backend, DevOps, and operations teams to ship AI features.
- Debug complex production issues and lead root-cause analysis.
- Define engineering standards and best practices for AI system development.
- Mentor engineers and elevate technical execution quality across teams.
Requirements
- Strong backend or AI engineering experience in production environments.
- Experience building or scaling AI systems such as LLMs or recommendation systems.
- Strong system design skills with experience in distributed systems.
- Experience with production inference pipelines and AI orchestration.
- Strong debugging ability in high-scale, latency-sensitive environments.
- Experience with observability, monitoring, and incident response.
- Proven ability to lead technical execution in cross-functional teams.
- Strong ownership mindset and ability to drive projects end-to-end.
- Comfortable working in fast-paced, ambiguous environments.
Benefits
- Work on intelligent insurance automation systems.
- Collaborate across a global engineering organization.
- Products used by millions across Southeast Asia.
- Support for continuous technical growth with a learning and development budget.
- High ownership culture with the opportunity to lead critical AI systems.
- Focus on modern engineering practices emphasizing scalability and reliability.
- Impact AI architecture and engineering standards.
- Attractive salary package.
- Hybrid work arrangement with flexible collaboration.