
51 - 200 employees
🛍️ eCommerce
🏪 Marketplace
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
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51 - 200 employees
🛍️ eCommerce
🏪 Marketplace
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
• 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.
• 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.
• 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.
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