Lead AI Engineer – AI Systems & Automation

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BJAK

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Lead the design and development of production AI systems powering insurance workflow automation. • Architect AI orchestration layers connecting LLMs, backend services, and business workflows. • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. • Drive engineering decisions around latency, reliability, cost, and scalability of AI services. • Lead implementation of observability systems (logging, monitoring, tracing, alerting). • Review and guide backend AI implementation across engineering teams. • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. • Debug complex production issues across distributed AI systems 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 (LLMs, embeddings, recommendation systems, or automation workflows). • 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

• Learning & Development Budget - Support continuous technical growth. • High Ownership Culture - Lead critical AI systems end-to-end. • Modern Engineering Practices - Strong focus on scalability and reliability. • Leadership Impact - Shape AI architecture and engineering standards. • Competitive Compensation - Attractive salary package. • Fully Remote - Work remotely with globally distributed teams.