Varsity Holdings – OpenClaw Multi-Agent Systems Engineer Intern (AI Agents / OpenClaw)

Company
Varsity Holdings
latenttechcorp.com
Designation
OpenClaw Multi-Agent Systems Engineer Intern (AI Agents / OpenClaw)
Date Listed
13 Mar 2026
Job Type
Entry Level / Junior Executive, Experienced / Senior Executive
Full/PermIntern/TS
Job Period
Immediate Start, For At Least 6 Months
Profession
Engineering
Industry
Artificial Intelligence / Smart Automation
Location Name
144 Robinson Road, Singapore
Address
144 Robinson Rd, Singapore 068908
Map
Allowance / Remuneration
$800 - 2,100 monthly
Company Profile

We are a startup building AI-powered fintech and consumer applications that use AI agents to automate complex workflows for users.

Our products combine AI agents, financial data, automation tools, and modern web apps to help users interact with markets, research financial information, and build intelligent workflows.

A core part of our stack is OpenClaw, our internal multi-agent orchestration system that allows multiple AI agents to collaborate, use tools, and complete tasks autonomously.

We are looking for a builder who is excited about AI agents and automation to help us expand this system.

Job Description

Role Overview

As a Multi-Agent Systems Intern, you will help build and improve our OpenClaw AI agent framework and develop real-world applications powered by multiple collaborating AI agents.

You will work on systems where AI agents coordinate with each other, use tools, access APIs, and interact with users through apps such as Telegram bots, web platforms, and other consumer interfaces.

This role is ideal for someone who enjoys experimenting with AI tools and building practical AI-powered products.

What You Will Work On

Multi-Agent System Development

  • Build and improve our OpenClaw multi-agent architecture

  • Design agents that can coordinate, delegate tasks, and collaborate

  • Implement agent communication and workflow orchestration

Example workflows:

  • User Query → Research Agent → Data Agent → Analysis Agent → Response

AI-Powered Product Features

Build AI-powered features for our fintech applications, such as:

  • AI financial assistants

  • automated research tools

  • smart notification systems

  • AI workflow automation

  • agent-driven dashboards

Tool Integration for Agents

Develop tools that agents can interact with, including:

  • APIs

  • databases

  • web search

  • financial data feeds

  • internal services

Agents should be able to decide when to call tools and combine results to solve tasks.

Agent Memory & Knowledge Systems

Help develop systems that allow agents to:

  • store knowledge

  • retrieve past information

  • remember conversations

  • improve responses over time

Requirements

We care more about what you’ve built than academic credentials.

You should ideally have experience with:

  • Python or JavaScript

  • LLM APIs (OpenAI, Claude, etc.)

  • building AI tools, bots, or automation workflows

  • prompt engineering or agent design

Bonus experience:

  • LangChain / agent frameworks

  • RAG pipelines

  • vector databases

  • automation tools

  • API integrations

  • building bots or consumer-facing apps

What We Look For

We want curious builders who experiment with AI.

You might be a good fit if:

  • You enjoy building AI tools and automation

  • You constantly try new AI frameworks and APIs

  • You like turning AI capabilities into real products

  • You enjoy building systems where AI agents work together

Internship Details

  • Compensation: Paid internship

  • Duration: 3–6 months

  • Location: Singapore / Remote

  • Conversion: Potential full-time offer within 6 months

Why Join Us

You will get hands-on experience building:

  • real multi-agent AI systems

  • AI-powered fintech products

  • automation tools used by real users

You’ll work directly with the founding team and help shape how AI agents power next-generation applications.

Application Instructions
Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

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