Role Overview

This is a remote position.
Most AI internships hand you a sandbox project no one will ever use. This one is the opposite.
You'll work directly with the CEO and divisional leads, embed in real workflows across the business, and deploy agents that go straight into our workflow.
By the end of the 16 weeks, you'll have a portfolio of agents running in a real company, executive-level exposure most interns never get, and a working experience.
We are seeking a highly motivated and detail-oriented AI Agent Developer intern to join our team.
This is a unique, hands-on role where you will design and implement end-to-end AI solutions that automate real business workflows across multiple divisions.
You will work directly with our CEO and department leads to identify automation opportunities, architect solutions using cloud-based AI services, and deploy tools that deliver measurable efficiency gains.
Embed with each division to deeply understand current workflows — how work actually gets done, where time is lost, and which steps are ripe for agent automation.
Connect agents to the third-party tools each team already uses, integrating with our preferred AI platforms (Google and Anthropic ecosystems) so agents operate inside existing workflows rather than alongside them.
Design and build AI agents capable of multi-step reasoning, decision-making, and tool use, with the goal of having a purpose-built agent integrated into every team's workflow.
Conduct rigorous testing of all solutions, identify areas for improvement, and iterate to achieve higher accuracy, reliability, and efficiency.
Partner closely with each team from workflow discovery through rollout — running working sessions, demoing prototypes, and iterating with end users so each agent lands cleanly in their daily workflow and earns adoption.

Requirements

Currently enrolled in a 4th-year Bachelor's program or a Master's/Graduate program in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Systems, or a related technical field
Strong foundational Python skills (preferred)
Familiarity with AI/ML concepts and large language models (LLMs)
Comfort working with APIs, JSON, and structured data formats (CSV, PDF)
Basic understanding of or strong interest in cloud computing platforms, particularly Google Cloud Platform and its AI/ML services
Hands-on comfort with OpenClaw and Claude Code — we use both daily — along with other AI-assisted coding tools (e.g., GitHub, Gemini, Cursor)
Analytical mindset with the ability to break down complex problems and propose practical solutions
Excellent verbal and written communication skills — able to collaborate effectively with both technical and non-technical stakeholders
Meticulous attention to detail and commitment to data accuracy

Tech Stack

Cloud
Google Cloud Platform
Python

Benefits

Direct Mentorship: Direct mentorship from the CEO and senior leadership with meaningful exposure to executive decision-making
Real-World Impact: Real-world impact — you will ship solutions that are actively used across the business, not toy examples
Modern Tech Stack: Hands-on experience with a modern AI stack: Google Cloud, OpenClaw, Anthropic (Claude), OpenAI, CrewAI, GitHub, and more
Skill Development: Broad skill development across solution design, API integration, agent frameworks, model training, and workflow automation
Additional Perks: Flexible hours, remote work.

Mundoro Capital Inc.

Open Positions (1)

Engineering

AI Agent Developer – Internship