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TrendAI

AI Engineer (TrendIQ Core Team)

LocationTaipei
Typefull-time
Company size10,000+ people
PostedSep 9, 2026 · 1mo ago
Verified live11h ago
At a glanceSummarised by Seekless from the posting.
Must have9
Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or related fields
Proficiency in Python
Experience with AI/ML frameworks such as PyTorch or TensorFlow
Hands-on experience with LLMs and related toolkits
Familiarity with AI agent design, prompt engineering, and multi-agent systems
Experience with cloud platforms (AWS or Azure) and container orchestration technologies like Docker and Kubernetes
Strong analytical and problem-solving skills
Ability to work effectively in a team environment
Basic understanding of database management and data handling
Nice to have4
Research or project experience in LLMs or Agentic AI
Experience with multi-modal AI models, reinforcement learning, or knowledge graphs integration
Familiarity with MLOps, CI/CD pipelines, model versioning, and deployment workflows
Experience or knowledge in User Experience (UI/UX)
Eligibility1
Ability to communicate effectively in English, both verbally and in writing
Skills
Python
PyTorch
TensorFlow
LLMs
LLM toolkits
AI agents
prompt engineering
multi-agent systems
AWS
Azure
Docker
Kubernetes
MCP
CI/CD
MLOps
model versioning
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
[Overview]
Join our team and play a pivotal role in developing advanced AI agents.
From data automation to AI applications, you will be responsible for designing, implementing, and optimizing AI agents / MCP that leverage LLMs for natural language understanding, autonomous decision-making, multi-step task execution and tool design. This role involves close collaboration with product teams, data engineers, data analysts, and software engineers to build scalable, intelligent systems that interact seamlessly with users and internal / external tools.
[Responsibility]
Design, develop, and fine-tune AI agents / MCP tools for complex multi-turn conversations and autonomous workflows. Integrate AI agents with external APIs, databases, and knowledge bases to enhance contextual understanding and functionality. Build and maintain pipelines for training, evaluating, and deploying AI agents-related in production. Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. Monitor, debug, and optimize AI agent performance, ensuring reliability, scalability, and safety. Stay updated on the latest research and advances in LLMs, AI agent architectures, and related technologies.
[Qualification/Requirement]
Essential
Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or related fields. Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow. Hands-on experience with LLMs and related toolkits. Familiarity with AI agent design, prompt engineering, and multi-agent systems. Experience with cloud platforms (AWS or Azure) and container orchestration technologies like Docker and Kubernetes. Strong analytical and problem-solving skills, with ability to work effectively in a team environment. Basic understanding of database management and data handling. Ability to communicate effectively in English, both verbally and in writing.
Nice-to-have
Research or project experience in LLMs or Agentic AI. Experience with multi-modal AI models, reinforcement learning, or knowledge graphs integration. Familiarity with MLOps, CI/CD pipelines, model versioning, and deployment workflows. • Nice to Have: Experience or knowledge in User Experience (UI/UX).
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連結智慧 守護世界 — Connected Intelligence for Securing a Connected World
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