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

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AI Summary

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;


International candidates are welcome. Relocation assistance and work permit support are available.

📍 Location: Hsinchu, Taiwan


[Key Responsibilities]

  • System & Platform Operations: Drive architecture design, daily administration, proactive performance monitoring, and automated maintenance for core platforms and enterprise IT systems.
  • Full-Stack & AI Service Engineering: Develop backend systems and robust APIs using Python, handle basic frontend integrations, and deliver production-ready AI/LLM application modules.
  • Cloud Architecture & Security Governance: 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.
  • Technical Project Management: Own technical documentation, requirements scoping, and delivery schedules to ensure on-time release milestones.
  • Technology Modernization: Assess and adopt modern development frameworks, emerging AI tools, and DevSecOps best practices to streamline team workflows.


We actively invest in technical growth by offering flexible work arrangements, continuous learning subsidies (certifications, AI subscriptions, conferences), and opportunities to broaden your strategic industry perspective.


[Qualifications]

  • Strong proficiency in Python, supported by rigorous modular development and code review practices; solid understanding of full-stack engineering principles (RESTful API design, structured JSON handling, and frontend HTML/CSS/JavaScript/framework integration).
  • Hands-on experience with Google Cloud Platform (GCP) services (e.g., Cloud Run, Compute Engine) and production web deployments, coupled with foundational cloud security hygiene (IAM permissions, API key lifecycle management, HTTPS/SSL, and network hardening).
  • Firm grasp of fundamental networking concepts (TCP/IP, DNS, VPN, HTTP/HTTPS) and web application architectures.
  • Demonstrated experience in AI/ML application delivery, third-party API integration (e.g., OpenAI, Vertex AI, Claude), or Retrieval-Augmented Generation (RAG) implementations.
  • Track record of using AI engineering tools (e.g., Cursor, GitHub Copilot, Claude) to accelerate delivery.
  • Language Proficiency (English): A TOEIC score of 650 or equivalent is required. Applicants unable to provide documentation will be required to take our internal English proficiency assessment.


[Ideal Candidate Profile]

  • Self-directed and ownership-driven, with an uncompromising focus on system uptime, data security, and implementation quality.
  • Capable of driving independent troubleshooting, threat evaluation, and architecture improvements, with the ability to translate complex technical decisions into clear project terminology.
  • Inherently curious about developments in Generative AI, cloud infrastructure, and cybersecurity, with a practical drive to test and integrate modern tools.


[About Us]

The Industry, Science and Technology International Strategy Center (ISTI) at ITRI serves as a premier international think tank for Taiwan's industrial sectors. Our "Vision 2030" is to act as a lever for ISTI to empower Taiwanese industries to change the world.

Leveraging a global network across Europe, the Americas, Japan, and Southeast Asia, ISTI helps Taiwanese businesses master critical trends, connect with international resources, and shape forward-looking development strategies.

Our IEK Industry Intelligence Network (http://ieknet.iek.org.tw/) is a leader in domestic industrial intelligence, providing systematic research, data-driven insights, and expert methodology to support high-level corporate decision-making.


The Integrated Marketing and Creative Department accelerates technology commercialization by engineering scalable digital platforms across four pillars:

  • Resilient Cloud Operations: Architecting high-availability, security-compliant production environments.
  • Full-Stack Python Development: Leading core service implementation, API integrations, and continuous system refactoring.
  • Pragmatic AI Integration: Applying generative AI tools to engineering workflows and embedding modern AI capabilities directly into platforms.
  • Autonomous Delivery: Managing end-to-end project roadmaps through independent problem-solving and proactive stakeholder alignment.


[Meet ITRI at Taiwan Tech Summit & Taiwan Career Day 2026!]

ITRI will be at Taiwan Tech Summit this fall, joining the Forum and Panel discussions. Come learn more about ITRI and hear from our team! Then, stop by our booth at Taiwan Career Day 2026 to meet our team and explore career opportunities at ITRI.

  • Date: September 26, 2026 (Saturday)
  • Time: 9:00 AM – 6:00 PM (PDT)
  • Location: Santa Clara Convention Center
  • Register Now: https://lnkd.in/ghwf3PgT



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