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 hybrid role based in Malaysia. You will be part of a global engineering organization building AI-powered insurance products used across Southeast Asia and beyond.
Focus
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Build and operate backend systems that serve AI-powered insurance workflows in production.
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Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
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Build inference pipelines for LLM-based and AI-assisted automation systems.
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Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
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Design stable service boundaries between backend systems, ML components, and product APIs.
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Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
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Debug production issues across distributed AI systems and resolve root causes.
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Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
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Continuously improve system reliability, scalability, and performance.
Ideal Experience
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Strong backend engineering experience in production systems.
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Experience building or operating high-throughput, low-latency services.
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Familiarity with AI systems (LLMs, embeddings, or AI workflows).
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Experience with distributed systems and production debugging.
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Strong understanding of APIs, data flows, and system design principles.
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Experience with observability tools (logging, monitoring, tracing).
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Strong ownership mindset and bias toward shipping.
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Comfortable working in fast-paced, high-ambiguity environments.
Outcomes
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AI backend systems run reliably at scale with low latency and high availability.
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AI workflows are stable, observable, and production-ready across multiple products.
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System performance improves continuously through real-world feedback and optimization.
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Production incidents are quickly detected, diagnosed, and resolved.
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AI capabilities are seamlessly integrated into customer and internal workflows.
Tech Stack
- Python
- Node.js
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LLM APIs (OpenAI / Anthropic / open-source models)
- SQL / NoSQL databases
- Kubernetes
- Docker
- Distributed systems tooling
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Observability stacks (logging, metrics, tracing)
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.
Engineers are expected to own systems end-to-end - from design and implementation to production reliability and iteration.
Why Join BJAK
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Build AI-Powered Products - Work on intelligent insurance automation systems.
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Global Engineering Organization - Collaborate across multiple countries.
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International Impact - Products used by millions across Southeast Asia.
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Learning & Development Budget - Support for continuous growth.
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High Ownership Culture - End-to-end ownership of engineering systems.
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Modern Engineering Practices - Focus on scalability and reliability.
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Career Growth - Fast-moving engineering environment.
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Competitive Compensation - Attractive salary package.
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Hybrid Work Arrangement - Based in Malaysia with flexible collaboration.
The Kind of Builder We Wan