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About the Role

BJAK is seeking a Lead AI Engineer to design, develop, and deliver production AI systems for their AI-powered digital insurance platform. This role is central to translating AI capabilities into reliable, scalable systems that impact users and business outcomes.

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.
• 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.

Skills

• Python
• Node.js
• LLM APIs (OpenAI / Anthropic / open-source models)
• SQL / NoSQL databases
• Kubernetes
• Docker
• Distributed systems tools
• Observability stack (logging, metrics, tracing)

Location

• Remote

Work Type

• Fully remote
• Global engineering team

Experience Level

• Lead

Salary/Compensations

• Competitive Compensation - Attractive salary package.

Benefits

• Learning & Development Budget - Support continuous technical growth.

About the Company

• BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users.
• We use AI and automation to transform real-world insurance workflows such as quotations, policy issuance, endorsements, claims, and customer operations.
• 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.