AI Backend Engineer (AI Workflow Systems)

BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. We use AI and automation to transform real-world insurance workflows such as quotations, policy issuance, endorsements, claims, and customer follow-ups. We are looking for talented AI Backend Engineers to build the systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack - between models, backend systems, and real users - where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. Focus - 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. Ideal Experience - 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. Outcomes - AI backend systems run reliably at scale with low latency and high availability. - AI workflows are stable, observable, and production-ready across multiple products. - System performance improves continuously through real-world feedback and optimization. - Production incidents are quickly detected, diagnosed, and resolved. - AI capabilities are seamlessly integrated into global customer and internal workflows. Tech Stack - Python - Node.js - LLM APIs (OpenAI / Anthropic / open-source models) - SQL / NoSQL databases - Kubernetes - Docker - Distributed systems tooling - Observability stacks (logging, metrics, tracing) How We Work We believe strong products are built by small, high-ownership teams. Engineers at BJAK work closely with product, design, AI, and operations teams to solve meaningful real-world insurance problems. We value technical excellence, speed of execution, and practical decision-making. Engineers are expected to own systems end-to-end—from design and implementation to production reliability and iteration. Why Join BJAK - 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. The Kind of Builder We Want - Th