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臺北市, 臺灣
Remote only
About the Role
This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer intern, you will take on a hands-on builder role at the intersection of LLMs and production systems, working alongside full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.
This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.
What Makes You a Fit for Tech Seeds 2026
You are curious, proactive, and builder-minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.
Support the design and development of AI agent workflows and LLM-powered application components
Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations
Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
Improve system performance across quality, latency, reliability, safety, and cost
Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving
Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved
Contribute to Backend services, APIs, internal tools, or lightweight user interfaces when needed
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
Expected graduation in 2026 or 2027
Solid programming skills in Python or Java; familiarity with backend engineering is preferred
Good problem-solving ability and comfort working with APIs, debugging, and data
Strong curiosity about LLMs, AI agents, automation, and real-world system design
Ability to break down ambiguous problems and move from idea to working prototype
Comfortable learning quickly and working in a fast-moving environment
Available for a 6-month full-time commitment
Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development
Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
Experience with Git, databases, backend services, or cloud platforms
