AI Software Engineer

Job Description:

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your role and responsibilities

About the Role
We are seeking a motivated and technically curious intern to join our team at the intersection of enterprise infrastructure and artificial intelligence. This role offers a unique opportunity to work with cutting-edge AI technologies while gaining hands-on experience with IBM Z mainframe systems, combining traditional enterprise computing with modern AI capabilities.
What You'll Do
*Develop and implement AI solutions for IBM Z mainframe environments, leveraging Large Language Models (LLMs) and MCP servers.
*Build automation scripts and tools using Python and Bash to enhance mainframe operations and infrastructure management
*Work with Fast MCP to integrate AI capabilities into enterprise systems
*Collaborate with cross-functional teams to modernize mainframe workflows through AI-driven insights
*Participate in proof-of-concept projects that demonstrate the value of LLMs in enterprise infrastructure

Required education
High School Diploma/GED

Preferred education
Bachelor's Degree

Required technical and professional expertise

Python or equivalent, Bash, Fast MCP or equivalent AI tools (MCP Generation)
Understanding of LLM usage and prompt engineering
Learn cutting-edge tools such as LangFuse
Experience with version control systems (Git)
Knowledge of DevOps practices and CI/CD pipelines
Use of Vibe Coding for code creation.
Knowledge of AI Based Test Driven Development

Preferred technical and professional experience

Extensive background working with AI tools
Direct experience architecting AI solutions for complex development environments
Agile development methodology exposure through project/coursework