AI Backend Engineer; AI Workflow Systems

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 follow-ups.

We are looking for talented AI Backend Engineers to build the systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack – between models, backend systems, and real users – where latency, correctness, reliability, and cost directly impact production experience.

This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems.

• Build and operate backend systems that serve AI-powered insurance workflows in production.
• Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
• Build inference pipelines for LLM-based and AI-assisted automation systems.
• Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
• Design stable service boundaries between backend systems, ML components, and product APIs.
• Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
• Debug production issues across distributed AI systems and resolve root causes.
• Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
• Continuously improve system reliability, scalability, and performance.

• 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).
• Strong ownership mindset and bias toward shipping.
• Comfortable working in fast-paced, globally distributed teams.

• AI backend systems run reliably at scale with low latency and high availability.
• AI workflows are stable, observable, and production-ready across multiple products.
• System performance improves continuously through real-world feedback and optimization.
• Production incidents are quickly detected, diagnosed, and resolved.
• AI capabilities are seamlessly integrated into global customer and internal workflows.

• Python
• Node.js
• LLM APIs (OpenAI / Anthropic / open-source models)
• SQL / No
  
  SQL databases
• Kubernetes
• Docker
• Distributed systems tooling
• Observability stacks (logging, metrics, tracing)

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. Engineers are expected to own systems end-to-end—from design and implementation to production reliability and iteration.

• 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.
• Modern Engineering Practices – Focus on scalability and reliability.
• Career Growth – Fast-moving engineering environment.
• Competitive Compensation – Attractive salary package.
• Fully Remote – Work remotely with globally distributed teams.

• Thinks in systems, not just services or endpoints.
• Strong ownership of production behavior and system outcomes.
• Comfortable working with ambiguity and evolving requirements.
• Strong attention to failure modes, latency, and reliability.
• Focused on real-world production impact over theoretical design.
• Moves fast while maintaining engineering discipline.
• Obsessed with making systems stable,…