Job Overview
Location
Seoul, Korea
Job Type
Full-time
Category
Product Marketing Manager
Date Posted
June 29, 2026
Full Job Description
đź“‹ Description
- • Lead the design, development, and delivery of production-grade AI systems that automate insurance workflows including quotations, policy issuance, endorsements, claims, and customer operations.
- • Architect AI orchestration layers that integrate LLMs, backend services, and business workflows to enable reliable, scalable automation across global products.
- • Own end-to-end AI system design, including inference pipelines, request routing, caching strategies, and fallback mechanisms to ensure high availability and low latency.
- • Drive engineering decisions focused on optimizing latency, reliability, cost-efficiency, and scalability of AI services in production environments.
- • Implement and maintain comprehensive observability systems including logging, monitoring, tracing, and alerting for distributed AI systems.
- • Review and guide backend AI implementations across engineering teams to ensure alignment with architectural standards and production best practices.
- • Collaborate closely with product, backend, DevOps, and operations teams to ship end-to-end AI features that directly impact real users and business outcomes.
- • Debug complex production issues across distributed AI systems and lead root-cause analysis to prevent recurrence and improve system resilience.
- • Define and enforce engineering standards, coding practices, and system design principles for AI system development across the organization.
- • Mentor engineers, elevate technical execution quality, and foster a culture of ownership, reliability, and technical excellence within the engineering team.
- • Ensure AI capabilities are deeply integrated into global insurance workflows, enabling seamless automation at scale across Southeast Asia and beyond.
- • Maintain hands-on involvement in writing and reviewing production code while leading technical strategy and system architecture decisions.
- • Operate in a fast-paced, globally distributed environment with teams across multiple countries, delivering high-impact AI systems with minimal latency and maximum reliability.
- • Balance technical depth with leadership responsibility, guiding teams without micromanaging while holding them accountable for production outcomes.
- • Prioritize practical execution and real-world impact over theoretical architecture, ensuring systems are maintainable, observable, and production-ready.
🎯 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
🏖️ 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 continuous technical growth
- • Fully Remote - Work remotely with globally distributed teams
- • Competitive Compensation - Attractive salary package
- • selected_category": "Software Engineering",
- • "parent_category": "Engineering",
- • "confidence": 0.98,
- • "reasoning": "The title 'Lead AI Engineer (AI Systems & Automation)' specifies a leadership role in building production AI systems using backend engineering practices, distributed systems, and orchestration tools like Kubernetes and Docker. The core responsibilities align with software engineering, particularly in system design, inference pipelines, and production-grade deployment. While AI is central, the role is not focused on model training or research (which would be Data Science), but on engineering systems that deploy and manage AI in production. The tech stack (Python, Node.js, Kubernetes, Docker) and emphasis on scalability, reliability, and code ownership confirm it is a Software Engineering role. The leadership component does not elevate it to Management or Engineering Manager as the primary function remains technical execution and system design.",
- • "city": null,
- • "region": null,
- • "country_code": "GB",
- • "is_remote": true
- • }
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About Bjak Sdn. Bhd.
Bjak operates Malaysia’s largest digital auto-insurance marketplace, enabling instant price comparison and online purchase of motor coverage from leading insurers. The platform uses proprietary technology to simplify complex tariffs, deliver personalised quotes and e-policy issuance within minutes, eliminating paperwork and agent visits. Licensed by Bank Negara Malaysia, Bjak also offers road-tax renewal, accident assistance and claims support, serving millions of drivers nationwide while partnering with insurers to increase digital distribution efficiency and customer reach.
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