AI Agent Intern — Build Smart Chatbots & Knowledge Graphs

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】

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Be careful This job ad has not been subjected to our hirer verification process. Proceed cautiously and do your own checks before providing any personal information. Learn how to protect yourself Report this job ad