Innovation AI Agent Engineer Intern

Mann; Singapore; On-site; SGD 20,000 - 27,000; Part time

Benefits offered by this job

Hands-on ownership of AI agent use-cs

Mentorship from AI/product leaders

Exposure to applied AI in business

Job summary

Mann is seeking an AI Agent Engineering Intern in Singapore to design and build interactive AI agents that can connect, reason over, and act on multiple structured and unstructured data sources. You will work with LLMs, tools, APIs, and internal datasets to support decision-making and automation.

The role targets applied AI, autonomous agents, and human-AI interaction, with hands-on project experience and potential for full-time conversion based on performance.

Qualifications

• Pursuing or recently completed degree in CS, Data Science, AI, Engineering
• Strong Python programming skills
• Basic understanding of LLMs, prompt engineering, APIs and JSON
• Experience with agent frameworks or vector databases recommended
• Familiar with cloud platforms and data visualization tools

Responsibilities

• Design and prototype AI agents with interactive capabilities (chat, workflows, decision support)
• Integrate APIs, databases, documents, spreadsheets and dashboards
• Implement retrieval-augmented generation (RAG) pipelines and data connectors
• Build agent logic for tool calling, orchestration, multi-step reasoning and memory management
• Collaborate with product, data and business teams to translate problems into AI agent workflows
• Evaluate agent performance and iterate on usability, accuracy and reliability
• Document architectures, prompts and design decisions

Skills

Python

LLMs

Prompt engineering

APIs & JSON

LangChain

LlamaIndex

Semantic Kernel

AutoGen

FAISS

Pinecone

Chroma

Pandas

Streamlit

React

Chatbots

AI internships

Education

Degree or Masters in Mathematics/Computer Science/IT/Data Science

Tools

Power BI

SharePoint

Azure

AWS

GCP

Job description

Mann is seeking an AI Agent Engineering Intern in Singapore to design and build interactive AI agents that can connect, reason over, and act on multiple structured and unstructured data sources. You will work with LLMs, tools, APIs, and internal datasets to support decision-making and automation.

The role targets applied AI, autonomous agents, and human-AI interaction, with hands-on project experience and potential for full-time conversion based on performance.