About the role#
This is a 16-week, full-time Co-op position based in Cambridge, Massachusetts. You will join an engineering team building technologies for AI agents, large language models, and cloud-native AI systems. You will work alongside experienced engineers to design, build, test, and operate software that improves the behavior of AI applications. This role requires a full-time commitment of 40 hours per week.
What you'll do#
- Support the design, development, testing, and debugging of software across front-end, back-end, and full-stack environments.
- Build capabilities that help developers evaluate, observe, debug, and optimize AI agents and generative AI applications.
- Analyze AI behaviors including tool usage, execution traces, latency, quality, and cost.
- Develop automated evaluation and testing systems for AI applications.
- Build services and APIs that process telemetry and evaluation data.
- Contribute to SDKs and integrations for AI models and agent runtimes.
- Work with programming languages such as Python, Java, JavaScript, TypeScript, C++, Go, Rust, Swift, and Kotlin.
- Build user interfaces using frameworks like React.
- Work with cloud and container technologies including Docker, Kubernetes, and REST APIs.
- Use Git, CI/CD pipelines, and other collaboration tools.
- Participate in code reviews, technical design discussions, and Agile development.
What you'll need#
- Active enrollment in a Bachelor’s degree program in Computer Science or Computer Engineering.
- Intent to return to school to complete your degree after the Co-op.
- Availability for a full-time, 16-week commitment during the Winter 2027 term.
- Ability to start a full-time role between December 2027 and August 2028.
- Coursework or project experience in software development using at least one programming language.
- Familiarity with data structures, algorithms, debugging, and software design.
- Exposure to front-end or back-end technologies such as React, Node.js, Python, Java, SQL, or Go.
- Experience with Git or similar version-control systems.
- Interest in AI systems, large language models, cloud computing, and distributed systems.
- Strong analytical, problem-solving, and communication skills.
- Familiarity with AI frameworks like LangGraph, LangChain, or LlamaIndex.
- Experience or exposure to LLM evaluation, tracing, observability, or model optimization.
- Familiarity with cloud services, REST APIs, and container technologies like Docker and Kubernetes.
- Understanding of Agile software development methods.
Location & details#
- Location: Cambridge, Massachusetts.
- Modality: Hybrid.
- Term: Winter 2027.
- Status: Paid, full-time internship.
About IBM
IBM provides IT services and consulting to a global client base. The company develops technology solutions across areas such as cloud computing, security, analytics, and infrastructure. It operates as a public organization with more than 10,001 employees. The corporate headquarters are located in Armonk, New York.
How to get in at IBM
Applying early at IBM gives you a measurable advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials before the pile grows. Being among the first candidates seen helps you stand out in a large applicant pool. You can also improve your response rates by reaching out to the recruiters behind the roles directly. Intern Insider surfaces the specific contacts for IBM positions so you can ask about the role or a referral. This direct approach often works better than sending your resume into a queue.
