Lead Software Engineer - AI Workflow Automation
New
Remote, ChinaFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- Node.jsPythonJavaCI/CDDistributed Systems
Requirements
- Strong software engineering experience building production-grade backend or distributed systems.
- Proven experience leading technical delivery of complex systems or platforms.
- Ability to break down operational workflows into scalable system designs and architectures.
- Strong understanding of backend systems, APIs, and event-driven or workflow-based architectures.
- Hands-on engineering capability with willingness to contribute to code and system implementation.
- Strong judgment on technical trade-offs, system complexity and delivery risks.
- Experience working closely with product and operations teams in cross-functional environments.
- Strong communication skills and ability to align technical decisions with business needs.
- High ownership mindset with strong execution and follow-through.
Responsibilities
- Lead delivery of AI-driven workflow automation systems from design to production.
- Translate complex operational and business processes into clear system architecture and engineering execution plans.
- Design backend workflows for multi-step insurance processes including approvals, claims, policy issuance and document handling.
- Define and implement system logic for state transitions, workflow orchestration and automation rules.
- Review architecture, code quality and implementation to ensure scalability, reliability and correctness.
- Mentor engineers and raise engineering standards across system design, coding quality and delivery discipline.
- Improve system reliability through monitoring, debugging, incident response and root cause analysis.
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