AI Software Engineer Intern 2027

Build AI for the systems the world relies on. At IBM Z, our technology supports the transactions and data behind banking, payments, and global commerce. We are bringing AI into that foundation to help developers build faster, simplify complex operations, and solve problems where reliability, security, and performance matter.

As an AI Software Engineer Intern, you will work alongside experienced engineers to turn advances in large language models into useful software. Depending on your team, you could build an agent that helps diagnose system issues, connect AI to enterprise data and tools, or create a simpler way for developers to work with complex systems. Bring your ideas, experiment, and help take a feature from prototype through testing and refinement.

What You’ll Do:

• Design, build, and test AI-powered features that address real developer and client needs, with guidance from experienced engineers.

• Integrate LLMs, APIs, and enterprise data into applications, exploring agent workflows, tool calling, and retrieval where they fit the problem.

• Write clear specifications and effective prompts, use AI development tools thoughtfully, and review and test the code they produce.

• Evaluate AI behavior with realistic test cases, measure quality and performance, and improve how applications handle incorrect outputs and failures.

• Debug across model interactions, application code, APIs, and underlying systems to understand root causes and build reliable solutions.

• Collaborate through Git, code reviews, and technical discussions; document your work and iterate on feedback.

Program Dates: Internship start dates vary based on your academic calendar.

• Semester System: May 24, 2027 - August 13, 2027

• Quarter System: June 14, 2027 - September 3, 2027

Candidates must be available to participate for the full duration of the internship corresponding to their academic schedule.

Location Flexibility: By applying to this requisition, you acknowledge and agree to be considered for any of the listed locations associated with this position and are willing to work at the location where you are ultimately assigned.