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Lead AI Engineer – AI Systems, Automation
BJAKLead AI Engineer designing AI-powered production systems for insurance automation at BJAK, Southeast Asia's largest digital insurance platform. Collaborate globally to elevate engineering quality in AI workflows.
Tech Stack
Tools & technologiesDistributed Systems
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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.
- 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.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI EngineeringBackend DevelopmentSystem DesignDebuggingAI OrchestrationLatency OptimizationScalabilityIncident ResponseAutomation WorkflowsRecommendation Systems
Soft Skills
Ownership MindsetCollaborationMentoringProblem-SolvingCommunication