Lead Software Engineer - AI Workflow Automation (Remote, China)

๐Ÿข Bjak ยท all Bjak jobs
๐Ÿ“ China
๐Ÿ“… Posted 2026-06-28 ยท via Himalayas
๐Ÿท AI-Workflow-Automation-Lead,AI-Workflow-Automation-Engineer,AI-Workflow-Lead,Senior-Software-AI-Engineer,Lead-AI-Engineer,Senior-Lead-AI-Engineer,Lead-AI-ML-Engineer,Senior-AI-Software-Engineer,Automation-Workflow-Lead,AI-Workflow-Engineer
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BJAK is using AI, automation and backend systems to improve end-to-end insurance operations. The work includes customer data flows, insurer approvals, document requests, policy issuance, endorsements and claims follow-ups.

We're looking for talented Lead Software Engineers based in China to design and build scalable AI-powered workflow automation systems that transform complex insurance operations into reliable, end-to-end automated processes.

This is a fully remote position where you'll collaborate closely with our Malaysia-based engineering, product and operations teams to deliver high-impact production systems.
The Mission

Lead engineering efforts that turn complex, manual insurance operations into scalable, reliable and intelligent workflow automation systems powered by AI and backend orchestration.
What Youโ€™ll Own

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Lead delivery of AI-driven workflow automation systems from design to production.

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Translate complex operational and business processes into clear system architecture and engineering execution plans.

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Design backend workflows for multi-step insurance processes including approvals, claims, policy issuance and document handling.

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Define and implement system logic for state transitions, workflow orchestration and automation rules.

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Review architecture, code quality and implementation to ensure scalability, reliability and correctness.

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Mentor engineers and raise engineering standards across system design, coding quality and delivery discipline.

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Work closely with product, operations, QA and DevOps to deliver complete end-to-end systems.

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Improve system reliability through monitoring, debugging, incident response and root cause analysis.

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Ensure smooth production releases with strong focus on operational stability and risk control.

What We're Looking For

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Strong software engineering experience building production-grade backend or distributed systems.

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Proven experience leading technical delivery of complex systems or platforms.

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Ability to break down operational workflows into scalable system designs and architectures.

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Strong understanding of backend systems, APIs, and event-driven or workflow-based architectures.

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Hands-on engineering capability with willingness to contribute to code and system implementation.

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Strong judgment on technical trade-offs, system complexity and delivery risks.

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Experience working closely with product and operations teams in cross-functional environments.

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Strong communication skills and ability to align technical decisions with business needs.

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Calm under pressure when handling production incidents or tight delivery timelines.

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High ownership mindset with strong execution and follow-through.

Bonus Points

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Experience building workflow automation systems, orchestration engines or enterprise backend platforms.

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Experience with event-driven architectures, state machines or distributed systems design.

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Experience with AI/ML-powered decision systems or automation pipelines.

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Knowledge of Node.js, Python, Java or similar backend technologies.

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Experience with cloud infrastructure, CI/CD pipelines and production monitoring systems.

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Familiarity with observability tools (logging, metrics, tracing, alerting).

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Experience scaling systems in high-growth or high-transaction environments.

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Contributions to architecture design or platform-level system ownership.

The Kind of Builder We Want

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Thinks deeply about how real-world business processes map into system design.

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Hands-on technical leader who stays close to code and system implementation.

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Stable, structured and dependable under pressure.

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Focused on real operational outcomes, not theoretical design.

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Clear thinker who can explain trade-offs and system decisions.

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Actively drives root cause fixes and long-term system improvements.

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Builds systems that are reliable, observable and trusted by teams.

This Role Is Not For

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People wh

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