Lead AI Engineer – AI Systems & Automation
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Job Description
Lead AI Engineer managing the design and development of AI systems. Building scalable workflows and collaborating with global teams at BJAK, Southeast Asia's largest digital insurance platform.
Responsibilities:
- 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.
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