
Job Overview
Location
United Kingdom
Job Type
Full-time
Category
Software Engineering
Date Posted
June 29, 2026
Full Job Description
📋 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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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