Key skills
Distributed SystemsAIMLLLMCaching
About this role
Role Overview
- Build and operate backend systems that serve AI-powered insurance workflows in production.
- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
- Build inference pipelines for LLM-based and AI-assisted automation systems.
- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
- Design stable service boundaries between backend systems, ML components, and product APIs.
- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
- Debug production issues across distributed AI systems and resolve root causes.
- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
- Continuously improve system reliability, scalability, and performance.
Requirements
- Strong backend engineering experience in production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI systems (LLMs, embeddings, or AI workflows).
- Experience with distributed systems and production debugging.
- Strong understanding of APIs, data flows, and system design principles.
- Experience with observability tools (logging, monitoring, tracing).
- Strong ownership mindset and bias toward shipping.
- Comfortable working in fast-paced, globally distributed teams.
Tech Stack
- Distributed Systems
Benefits
- Build AI-Powered Products
- Work on intelligent insurance automation systems.
- Global Engineering Organization
- Collaborate across multiple countries.
- International Impact
- Products used by millions across Southeast Asia and beyond.
- Learning & Development Budget
- Support for continuous growth.
- High Ownership Culture
- End-to-end ownership of engineering systems.
- Modern Engineering Practices
- Focus on scalability and reliability.
- Career Growth
- Fast-moving engineering environment.
- Competitive Compensation
- Attractive salary package.
- Fully Remote
- Work remotely with globally distributed teams.