[Remote] AI Backend Engineer (AI Workflow Systems)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. They are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across their platform.
Responsibilities
- 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 reputed company 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
Skills
- 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 reputed company and bias toward shipping
- Comfortable working in fast-paced, globally distributed teams
Benefits
- Learning & Development Budget - Support for reputed company growth
- Career Growth - Fast-moving engineering environment
- Competitive Compensation - Attractive salary package
- Fully Remote - Work remotely with globally distributed teams
Company Overview