Job Overview
Location
Singapore
Job Type
Full-time
Category
Software Engineering
Date Posted
June 29, 2026
Full Job Description
đź“‹ Description
- • Build and operate backend systems that serve AI-powered insurance workflows in production, including quotations, policy issuance, endorsements, claims, and customer follow-ups.
- • Design and implement AI orchestration layers that connect large language models (LLMs), APIs, business logic, and automated workflows.
- • Develop inference pipelines for LLM-based and AI-assisted automation systems to handle real-time decisioning across insurance processes.
- • Optimize latency, throughput, and cost of AI services through caching, batching, streaming, and intelligent routing mechanisms.
- • Define and maintain stable service boundaries between backend systems, machine learning components, and product-facing APIs.
- • Implement comprehensive observability including logging, metrics, tracing, and alerting to ensure production reliability and rapid incident response.
- • Debug and resolve root causes of production issues across distributed AI systems involving multiple services, models, and data flows.
- • Collaborate with frontend, product, operations, and machine learning teams to deliver end-to-end features from design to deployment.
- • Continuously improve system reliability, scalability, and performance based on real-world usage patterns and feedback.
- • Operate high-throughput, low-latency services that support millions of users across Southeast Asia and beyond.
- • Ensure AI workflows are stable, observable, and production-ready across multiple insurance products and customer touchpoints.
- • Maintain and evolve the tech stack including Python, Node.js, LLM APIs (OpenAI, Anthropic, open-source models), SQL/NoSQL databases, Kubernetes, Docker, and distributed systems tooling.
- • Own systems end-to-end—from initial design and implementation to production monitoring, iteration, and incident resolution.
- • Work within a globally distributed engineering team across multiple countries, coordinating asynchronously and synchronously to ship high-impact features.
- • Prioritize real-world production impact over theoretical design, focusing on system stability, observability, and scalability.
- • Embrace ambiguity and evolving requirements while maintaining engineering discipline and speed of execution.
- • Participate in an interview process consisting of 3–4 virtual or onsite interviews evaluated by technical team members.
🎯 Requirements
- • 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)
🏖️ 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 for continuous growth
- • High Ownership Culture - End-to-end ownership of engineering systems
- • Fully Remote - Work remotely with globally distributed teams
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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