Software Engineering Intern (AI Taskforce)

About the Role
In this role, you will support the development and adoption of AI-driven tools and solutions that improve internal workflows and team productivity. You will work closely with different teams to explore new technologies, build simple prototypes, support best practices, and help measure the impact of these solutions across the organization.

What You Will Do

• Support Agentic Workflows: Participate in the development of AI-powered automations that streamline internal engineering and operational processes — learning how these systems are designed and shipped end-to-end.
• Explore MCP & AI Tooling: Get hands-on experience with Model Context Protocol (MCP) servers and tools that connect AI agents to internal systems, APIs, and data sources.
• Support AI Adoption: Help teams integrate AI tools like Claude Code and Kiro into their daily workflows. Be the person who finds new ways to make things faster.
• Contribute to Governance & Security: Support the AI team in evaluating AI tools, documenting best practices, and helping establish guidelines for safe, responsible usage across the organization.
• Prototype & Learn: Build small internal tools, bots, or proof-of-concepts that demonstrate the potential of agentic AI — with guidance and mentorship from the team.
• Measure Impact: Help track and quantify efficiency gains from AI adoption — time saved, automation coverage, and developer experience improvements.

What We Are Looking For

• Agentic AI Curiosity: You have been tinkering with tools such as Claude Code, Cursor, Kiro, or similar AI-native development tools. You don't need to be an expert — but you should be excited about what these tools can do. You should aware how how such tools can have their capabilities expanded (e.g. through MCPs, Skills)
• The "100x" Mindset: You are obsessed with efficiency. You look at a 10-step manual process and immediately think about how to reduce it to one. You believe AI should be doing most of the repetitive work so humans can focus on what matters.
• Language Agnostic: You've tinkered with at least one backend language (e.g., Python, Go, TypeScript, Ruby) and are eager to learn whatever gets the job done.
• Tools: Familiarity with Git for version control.
• Mindset: A "can-do" attitude, a love for trying new AI tools the day they launch, a strong desire to learn, and the ability to communicate your ideas clearly.
• Bonus Points: Experience with workflow orchestration tools (n8n, LangChain, etc.), familiarity with LLM APIs, or an interest in Fintech, Crypto, or how money moves globally.