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AI Software Engineer Co-op

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: International Business Machines Corporation
Full Time position
Listed on 2026-11-02
Job specializations:
  • Software Development
    Software Engineer, Backend Developer, AI Engineer (Applied/Software), Software & AI Developer Internship
Salary/Wage Range or Industry Benchmark: 34000 - 44000 USD Yearly USD 34000.00 44000.00 YEAR
Job Description & How to Apply Below
Position: AI Software Engineer Spring Co-op 2027
Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.

With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'l have the tools and opportunities to advance your career while creating software that changes the world.

Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.

With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'l have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities

This is a 16‑week Co‑Op position designed for actively enrolled undergraduate students who are interested in gaining hands‑on, practical experience in their field while contributing to real IBM projects. To be eligible, candidates must be currently enrolled at an accredited university and able to pause their coursework for the duration of the Co‑Op, as students may not be enrolled in classes while participating.

This role requires full‑time availability (40 hours per week) during the Spring 2027 semester between

Jan 19
- May
7.Eligible candidates should also be available to join IBM in a full‑time role between December 2027 and August 2028 upon successful completion of their degree. 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…
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