AI Agent Development Intern (For Undergrad Year 3 or above)

Vismed Training Limited; Hong Kong; On-site; HKD 89,000 - 134,000; Part time

Job summary

Vismed Training Limited in Hong Kong is offering an AI Agent Development Intern position for undergraduate Year 3+. You will participate in AI agent development projects, from requirements analysis to deployment, gaining hands-on exposure to modern LLMs, RAG, tool calling and orchestration.

You'll build knowledge bases, design intelligent chatbots for retrieval and Q&A, contribute to knowledge graphs, prototype MVPs, and collaborate with analytics and business teams while prioritizing privacy

Qualifications

• Pursuing a Computer Science, SE, AI, or related degree (Year 3+).
• Familiar with REST APIs, SQL/NoSQL, and Git.
• Understanding of LLM concepts, prompt engineering, and RAG.
• Ability to translate requirements into MVP features.
• Strong documentation, troubleshooting, and data security awareness.

Responsibilities

• Participate in AI agent development from analysis to deployment.
• Integrate LLMs and APIs for Agent apps with RAG, tool calling, and orchestration.
• Build knowledge bases from diverse sources and maintain them.
• Design AI chatbots for information retrieval, content generation, FAQs, and multi-turn dialogue.
• Contribute to knowledge graphs, queries, and reasoning for retrieval.
• Prototype MVPs to validate business value and iterate solutions.
• Collaborate with data analytics platforms and business teams to translate requirements.
• Ensure security, privacy compliance, and thorough technical documentation.

Skills

REST APIs

SQL/NoSQL

Git

Software workflows

LLM concepts

Prompt engineering

RAG

Agent design patterns

MVP mindset

Requirements analysis

Education

Undergraduate in CS/SE/AI/Data Science

Tools

Vector databases

Graph databases

Automation tools

Job description

AI Agent Development Intern (For Undergrad Year 3 or above)

This post is offered under HKSTP internship program

rticipate in AI Agent development projects, including requirement analysis, technical solution design, development, testing, and deployment.

• Integrate mainstream large language models and APIs to build Agent applications with RAG (Retrieval-Augmented Generation), tool calling, task orchestration, and structured output capabilities.
• Build and maintain knowledge bases: collect, clean, vectorize, and index multi-source data (documents, databases, FAQs).
• Design and develop intelligent AI chatbots for scenarios such as information retrieval, content generation, FAQs, supporting multi-turn dialogue and precise Q&A.
• Contribute to knowledge graph construction and application: entity-relation extraction, graph queries, and reasoning to enhance structured knowledge representation and retrieval efficiency.
• Rapidly prototype MVPs (Minimum Viable Products) to validate business value and iterate solutions.
• Collaborate closely with data analytics platforms and business teams (operations, customer service, content) to translate requirements into deliverable technical features and track usage outcomes.
• Continuously evaluate large models, Agent frameworks, vector databases, graph databases, and automation tools to optimize system stability, response speed, cost, and accuracy.
• Prepare technical documentation, user manuals, and test records; ensure account permission management, data security, and privacy compliance.
• Undergraduate Year 3 or above in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or related fields.
• Familiarity with REST APIs, databases (SQL/NoSQL), Git, and basic software engineering workflows.
• Understanding of large language model principles, prompt engineering, RAG, function calling, or common Agent design patterns.
• Basic knowledge of knowledge graphs (entities, relations, triples, query languages); project experience is a plus.
• Strong ability to understand requirements and learn quickly, with MVP mindset to validate business value.
• Solid logical analysis, troubleshooting, and technical documentation skills.
• Interest in combining AI with business workflows; willingness to explore operations, content, marketing, and data scenarios.
• Awareness of data security; commitment to using authorized data, accounts, and third-party services only【任職要求】