9 часов назад
Technical Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Lead (AI/Backend): Designing and building scalable AI-powered automation systems for insurance workflows with an accent on policy issuance, claims processing, and system integrations. Focus on transforming manual processes into reliable automated systems and mentoring engineers to raise delivery quality.
Location: Remote (Must be based in China)
Company
utilizes AI, automation, and backend systems to optimize end-to-end insurance operations.
What you will do
- Lead end-to-end delivery of AI-driven workflow automation and backend system initiatives.
- Translate complex operational and business problems into clear system designs and engineering execution plans.
- Design backend architectures and workflow systems for multi-step insurance processes and policy lifecycles.
- Review architecture and code to ensure correctness, scalability, and reliability.
- Mentor engineers to raise overall engineering standards and system thinking.
- Collaborate with product, operations, QA, and DevOps to deliver production-ready systems.
Requirements
- Strong software engineering experience building production systems at scale.
- Proven experience leading technical delivery of backend or full-stack systems.
- Ability to break down complex operational workflows into implementation plans.
- Strong understanding of backend architecture, APIs, and distributed systems.
- Hands-on mindset with the ability to contribute directly to code.
- Must be based in China to collaborate with Malaysia-based teams.
Nice to have
- Experience with workflow automation, SaaS platforms, or enterprise backend systems.
- Experience with event-driven architectures or state machine-based systems.
- Experience with AI/ML-enabled workflow or decision automation.
- Knowledge of Node.js, Python, Java, or similar backend technologies.
- Experience with cloud infrastructure, CI/CD pipelines, and observability tools.
Culture & Benefits
- Ownership of AI-driven workflow infrastructure powering insurance operations.
- Fully remote work from China.
- International exposure building systems for Southeast Asia markets.
- Learning and development budget for continuous technical growth.
- High autonomy over architecture and delivery decisions.
Hiring process
- Application review.
- Two interviews.
- Technical discussion or practical system design task.
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