Software Developer Intern - Cambridge

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’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

We are looking for Software Developer Interns to join our engineering team, where we build technology to help developers understand, evaluate, optimize, and operate AI agents  an intern, you will work alongside experienced IBM engineers on systems that support the development and operation of agentic AI applications, including observability, evaluation, benchmarking, optimization, and automation. You may contribute to SDKs, APIs, distributed services, developer tooling, or user experiences used to analyze and improve AI agents.

This role is designed for students who are passionate about software engineering and interested in the rapidly evolving intersection of AI, cloud infrastructure, and developer platforms. You do not need prior experience building AI agents. We are looking for strong software fundamentals, curiosity, and a willingness to learn. You will gain hands‑on experience building production software, working with modern cloud‑native technologies, and solving engineering problems associated with running AI systems in real‑world environments.

What You’ll Do

• Design, develop, test, and debug SDKs, APIs, backend services, developer tools, and user interfaces for AI applications.
• Build capabilities that help developers observe, evaluate, benchmark, debug, and optimize AI agents.
• Work with AI agents and large language models to analyze agent behavior, including tool usage, responses, execution traces, latency, quality, and cost.
• Develop services and APIs that collect and process telemetry and evaluation data from AI applications.
• Contribute to frameworks and SDKs that integrate with different agent runtimes, models, and AI development frameworks.
• Help build automated evaluation and testing systems for AI agents, including test‑case generation, behavioral metrics, and performance benchmarking.
• Explore techniques for improving agent quality and efficiency through prompt optimization, model selection, tool optimization, and automated experimentation.
• Work across front‑end, back‑end, and infrastructure components depending on project needs.
• Work with cloud-native technologies such as Docker, Kubernetes, REST APIs, distributed services, and observability frameworks.
• Use Git, CI/CD systems, and modern software‑development tools to build and deliver production‑quality software.
• Participate in code reviews, technical design discussions, Agile development, and collaboration with engineers, researchers, product managers, and designers.
• Explore emerging technologies in agentic AI, LLM evaluation, observability, optimization, automation, and cloud-native AI infrastructure.

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

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

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

Required education

High School Diploma/GED

Preferred education

Bachelor’s Degree

Required…