Innovation Management Intern

Mann + Hummel, Inc.; Singapore; On-site; SGD 20,000 - 36,000; Full time

Job summary

MANN+HUMMEL is seeking an AI Agent Engineering Intern in Singapore to design and build interactive AI agents that connect, reason over, and act on multiple data sources. You will work with LLMs, APIs, and internal datasets to support decision-making, exploration, and automation across practical use cases.

You will prototype production-oriented agents, learn how to connect LLMs to enterprise data, and explore trade-offs between autonomy, control, accuracy, and user trust in AI systems within a

Qualifications

• Pursuing or recently completed degree in Computer Science, Data Science, AI, Engineering, or related field.
• Strong programming skills in Python (required).
• Basic understanding of LLMs, prompt engineering, APIs and JSON.
• Experience with agent frameworks or vector databases and data tooling.
• Experience building chatbots or conversational interfaces.
• Familiarity with cloud platforms (Azure, AWS, or GCP).
• Understanding of knowledge graphs and agent planning (ReAct).
• Experience with front-end frameworks (Streamlit, React, or similar).
• Prior internship, project, or hackathon in AI/ML.

Responsibilities

• Design and prototype AI agents with interactive capabilities (chat, workflows, decision support).
• Integrate data sources: APIs, databases, documents, spreadsheets, dashboards.
• Implement retrieval-augmented generation (RAG) pipelines and data connectors.
• Build agent logic for tool calling, multi-step reasoning, and context 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

Data processing (Pandas)

Chatbots / conversational interfaces

Cloud platforms (Azure/AWS/GCP)

Knowledge graphs

Agent planning (ReAct)

Front-end frameworks (Streamlit/React)

Education

Degree or Masters in CS/Data Science/AI/Engineering

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

FAISS

Pinecone

Chroma

Job description

As worldwide experts in filtration, MANN+HUMMEL develop solutions for vehicles, industrial applications, clean air inside vehicles and the sustainable use of water. With team spirit and an open culture of communication, we are continuously working towards achieving our vision of ‘leadership in filtration’. Become part of our team.

Job Description

Job Description

Role Summary

We are looking for a highly motivated AI Agent Engineering Intern 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 practical AI agent prototypes that combine LLMs, tools, APIs, and internal datasets to support decision‑making, exploration, and automation use cases.

This role is ideal for someone interested in applied AI, autonomous agents, and human‑AI interaction, with strong hands‑on curiosity.

Main Tasks

Key Responsibilities

• Design and prototype AI agents with interactive capabilities (chat, workflows, decision support).
• Integrate multiple data sources such as:
  • APIs (internal & external)
  • Databases (SQL / NoSQL)
  • Documents (PDFs, slides, wikis)
  • Spreadsheets and dashboards
• Implement retrieval‑augmented generation (RAG) pipelines and data connectors.
• Build agent logic for:
  • Tool calling and orchestration
  • Multi‑step reasoning and task execution
  • Memory and context management
• Collaborate with product, data, and business teams to translate real‑world problems into AI agent workflows.
• Evaluate agent performance and iterate on usability, accuracy, and reliability.
• Document architectures, prompts, and design decisions.

Required Skills & Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Data Science, AI, Engineering, or related field.
• Strong programming skills in Python (required).
• Basic understanding of:
  • Large Language Models (LLMs)
  • Prompt engineering
  • APIs and JSON
• Experience with at least one of the following:
  • LangChain, LlamaIndex, Semantic Kernel, AutoGen (or similar agent frameworks)
  • Vector databases (e.g., FAISS, Pinecone, Chroma)
  • Data processing with Pandas or similar
• Comfortable working with imperfect data and ambiguous problems.
• Experience building chatbots or conversational interfaces.
• Familiarity with cloud platforms (Azure, AWS, or GCP).
• Understanding of:
  • Knowledge graphs
  • Agent planning (ReAct, tool‑use, multi‑agent systems)
  • Front‑end frameworks (Streamlit, React, or similar)
• Prior internship, project, or hackathon experience in AI/ML.

What You’ll Learn

• How to design production‑oriented AI agents, not just demos.
• Practical techniques for connecting LLMs to enterprise data.
• Trade‑offs between autonomy, control, accuracy, and user trust in AI systems.

What We Offer

• Hands‑on ownership of real AI agent use cases.
• Mentorship from experienced AI and product leaders.
• Exposure to cutting‑edge applied AI in a business context.
• Opportunity to convert to a full‑time role (performance‑based).

Education & Experience

• Currently pursuing a Degree or Masters in Mathematics, Computer Science, Information Technology, Data Science, or a related field.
• Intermediate knowledge in Power BI and data visualization techniques.
• Experience with SharePoint integration and data management.
• Proficiency in data analysis and reporting.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple tasks simultaneously.

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