aimlroles

(Sr.) AI Engineer

Trendmicro Open · verified Oct 22, 2026
Taipei Senior AI Engineering

At a glance

Senior AI Engineering role at Trendmicro. Taipei.

Pay not stated AI Engineer salary

RoleAI Engineering
SenioritySenior
LocationTaipei
PostedSep 11, 2026 · 5w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Test new AI tools, models and workflows, then pilot approaches that can improve engineering work
  • Build AI-based development practices around coding agents and weave them into engineers’ daily routines
  • Create and run the agents, evaluation systems, telemetry and platform services behind AI-supported engineering
  • Track adoption through cycle time, review throughput and defect rates, and help teams get started
  • Diagnose failures across the AI and agent stack, find their causes and put lasting fixes in place

What you bring

  • A computer science or engineering degree, or equivalent experience gained in industry
  • Strong Python skills plus proficiency in at least one other programming language
  • Practical use of AI agents in work you can explain, such as a side project, open-source effort or shipped feature
  • Experience designing AI agents and systems that coordinate multiple agents
  • Hands-on use of AI coding agents, with skill in context and harness design for dependable LLM behavior

Who this fits

This role suits a senior engineer who enjoys experimenting with AI and sharing practical knowledge across engineering teams. You’ll work across functions and need strong English communication, initiative and a collaborative approach. The position is based in Taipei, Taiwan.

From the employer

Join Trend ‧ Join New Generation

趨勢科技 - 全球雲端資安領航者 / 全亞洲最大軟體公司 / 企業版圖橫跨五大洲 / 趨勢全球研發基地在台灣
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TrendAI is a global cybersecurity leader, protecting hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints. Powered by decades of security expertise and world-leading threat research, we are now taking the next step in our evolution — rebuilding how software itself is built, with AI at the core.

We are taking AI-driven development (AI-DLC) to the next horizon — applying AI rigorously across design, implementation, testing, and operations to materially raise engineering throughput and product quality. We are hiring a (Senior) AI Engineer to bridge frontier AI capabilities and practical engineering, designing the workflows, infrastructure, and agents that engineers across our organization rely on every day to ship better security products faster.

Your Mission

  • Stay current with AI engineering practice; evaluate and pilot emerging tools, models, and workflows.

  • Design and ship AI-native development workflows, integrating modern AI coding agents into daily engineering practices.

  • Build and operate the AI infrastructure — agents, evaluation harnesses, telemetry, and platform services — that powers AI-native engineering at scale.

  • Drive measurable adoption with clear metrics (cycle time, review throughput, defect rates), and partner with teams to onboard.

  • Troubleshoot and resolve complex issues across the AI/agent stack; identify root causes and implement durable fixes.

What We’re Looking For

  • Bachelor's degree in Computer Science, Engineering, or equivalent industry experience.

  • Proficiency in Python and at least one additional language (e.g., Golang, Java, C/C++).

  • Hands-on experience using AI agents in real work - a side project, open-source contribution, or shipped feature you can walk us through.

  • Practical experience with AI coding agents (e.g., Claude Code, GitHub Copilot, Codex, Cursor).

  • Experience in AI agent design and multi-agent systems.

  • Strong expertise in context engineering and harness engineering, and skill/tool design for reliable LLM behavior.

  • Strong judgment in evaluating LLM outputs — distinguishing quality, correctness, hallucination, and subtle failure modes.

Extra Skills We Love

  • Experience designing retrieval and memory layers around LLMs, with judgment on simplicity-first design.

  • Experience building developer tools or AI infrastructure at company scale.

  • Cloud (AWS / Azure / GCP), containerization (Docker, Kubernetes), and DevOps practices.

  • Infrastructure-as-Code (e.g., Terraform, CloudFormation).

Culture Fit

  • Passionate about AI and eager to share knowledge across the engineering organization.

  • Embraces experimentation and continuous learning in a fast‑evolving AI landscape.

  • Strong English communication skills, proactive attitude, and problem‑solving mindset with a willingness to take on challenges.

  • Effective communicator and reliable team player in agile, cross‑functional environments.

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World