2 days ago
Singapore, SingaporeSenior / Staff+
Responsibilities
- Lead the design and development of production AI systems for insurance workflow automation.
- 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 around 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 like 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, globally distributed teams.
Benefits
- Build AI-powered products that automate insurance systems.
- Collaborate within a global engineering organization.
- Make an international impact with products used by millions.
- Access a learning and development budget for continuous growth.
- Enjoy a high ownership culture leading critical AI systems.
- Engage in modern engineering practices focused on scalability and reliability.
- Shape AI architecture and engineering standards.
- Receive competitive compensation and work fully remote.