Bjak - Lead AI Engineer (AI Systems & Automation) - Remote
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. • Outcomes • Outcomes • AI systems operate reliably at scale with strong performance and low latency. • AI workflows are stable, observable, and production-grade across multiple products. • System architecture supports rapid iteration without compromising reliability. • Production incidents are quickly identified, resolved, and prevented. • Engineering teams execute faster and with higher technical quality under your leadership. • AI capabilities are deeply integrated into global insurance workflows. • LLM APIs (OpenAI / Anthropic / open-source models) • SQL / NoSQL databases • Distributed systems tools • Observability stack (logging, metrics, tracing) • How We Work • How We Work • We believe strong products are built by small, high-ownership teams. Engineers at BJAK work closely with product, design, AI, and operations teams to solve meaningful, real-world insurance problems. We value technical excellence, speed of execution, and practical decision-making.As a lead, you are expected to raise engineering standards, guide system design decisions, and ensure teams deliver reliable production systems.
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. • 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. • The Kind of Builder We Want • Strong systems thinker who connects AI, backend, and business workflows • Hands-on technical leader who still writes and reviews production code • Strong ownership of production systems and outcomes • Calm under pressure with clear technical judgment • Strong focus on reliability, scalability, and maintainability • Ability to guide engineers without micromanaging • Bias toward execution and real-world impact over theory • This Role Is Not For • Leaders who only delegate without technical involvement • Engineers who avoid production responsibility or incidents • Those who cannot operate in ambiguous or fast-changing environments • People who focus on architecture without accountability for execution • Engineers who lack hands-on experience with production systems
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