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Senior Full-Stack & Cloud Engineer (AI/LLM Focus)

Taiwan
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Drive end-to-end project execution including architecture design, full-stack Python development, and GCP deployment with a focus on AI/LLM integration. Oversee cloud security governance, system operations, and technical project management to ensure high-availability and secure production environments. Requires strong proficiency in Python, GCP, and AI engineering tools, with a collaborative mindset and autonomous development capabilities.

Key Highlights
End-to-end ownership of architecture, full-stack development, and cloud deployment on GCP
Integration of AI/LLM APIs and RAG implementations into production platforms
Enforcement of cloud security standards including IAM, SSL/TLS, and vulnerability remediation
Key Responsibilities
Drive architecture design, daily administration, proactive performance monitoring, and automated maintenance for core platforms and enterprise IT systems
Develop backend systems and robust APIs using Python, handle basic frontend integrations, and deliver production-ready AI/LLM application modules
Oversee deployment, resource provisioning, and network design on Google Cloud Platform (GCP), enforcing cloud security standards including IAM policies, SSL/TLS certificate management, and vulnerability remediation
Own technical documentation, requirements scoping, and delivery schedules to ensure on-time release milestones
Assess and adopt modern development frameworks, emerging AI tools, and DevSecOps best practices to streamline team workflows
Technical Skills Required
Python Google Cloud Platform AI/LLM Integration
Benefits & Perks
Relocation assistance
Work permit support
Continuous learning subsidies (certifications, AI subscriptions, conferences)
Flexible work arrangements

Job Description

We are seeking a collaborative engineer with autonomous development capabilities, a cloud-first operations mindset, and strong cross-functional communication skills.

If you:

  • Excel at overseeing end-to-end project execution—from architecture design and full-stack development to cloud deployment, security governance, and system operations;
  • Maximize efficiency using AI-assisted development workflows and enjoy integrating AI APIs/LLMs into production platforms;
  • Want to take ownership of complex technical challenges within an environment that offers engineering autonomy, competitive benefits, and institutional industry impact;
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