Applied AI Agent Engineer Intern

MANN+HUMMEL

Singapore

On-site

SGD 18,000 - 29,000

Full time

23 hours ago
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Job summary

MANN+HUMMEL 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 on prototypes that combine LLMs, tools, APIs, and internal datasets to support decision making and automation.

You will collaborate with product, data and business teams to translate real-world problems into AI agent workflows, evaluate performance, and document architectures and

Qualifications

  • Pursuing or recently completed degree in CS, DS, AI, Engineering or related field.
  • Strong Python programming skills.
  • Basic understanding of LLMs, prompt engineering, APIs and JSON.
  • Experience with at least one agent framework or vector DBs.
  • Comfortable with imperfect data and ambiguity.

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, multi-step reasoning and memory management.
  • Collaborate with product, data and business teams to translate problems into AI 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/semantic tools
Vector DBs
Pandas/data processing
Problem solving

Education

Degree in CS/DS/AI/Engineering

Tools

LangChain
LlamaIndex
FAISS/Pinecone/Chroma

Job description

MANN+HUMMEL 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 on prototypes that combine LLMs, tools, APIs, and internal datasets to support decision making and automation.

You will collaborate with product, data and business teams to translate real-world problems into AI agent workflows, evaluate performance, and document architectures and

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