Poughkeepsie, United States Role overview
About this role
Build the Future of AI at IBM Spend your internship building AI agents that solve real business problems. As a Software Developer Intern on IBM Infrastructure, you'll work with cutting-edge technologies including watsonx Orchestrate, Agentic AI, Python, TypeScript, cloud platforms, MCP servers, and enterprise development tools to create solutions that automate work, improve productivity, and drive innovation across IBM. This is not a shadow-and-observe internship. From day one, you'll contribute to real projects, collaborate with experienced software engineers and AI practitioners, and gain hands-on experience developing solutions used in a global enterprise environment. You'll have ownership, mentorship, and the opportunity to make a measurable impact while building skills that will set you apart in today's rapidly evolving AI landscape. At IBM, we're committed to helping students grow into exceptional engineers. High-performing interns will be considered for future early-career opportunities. Why You'll Love This Internship Build and deploy AI agents that solve real business challenges Work with modern technologies including Python, TypeScript, cloud platforms, APIs, and Agentic AI tools Learn directly from experienced software engineers and AI experts Own meaningful projects with visible business impact Gain hands-on experience with enterprise-scale software development Develop technical, communication, and leadership skills Explore future career opportunities within IBM What You'll Do Design and build AI-powered solutions using watsonx Orchestrate, knowledge bases, tools, skills, and MCP servers Develop software using modern programming languages, primarily Python and TypeScript Create AI agents that automate repetitive tasks and improve operational efficiency Build integrations using APIs, cloud services, and enterprise platforms Collaborate with software engineers, architects, and AI practitioners to deliver high-quality solutions Apply software development best practices, including source control, testing, CI/CD, and Agile methodologies Explore emerging AI technologies and evaluate how they can be applied to real-world business challenges Present your work, share ideas, and contribute to technical discussions within the team Learn how software moves from concept through development, deployment, and production support Technologies You'll Use watsonx Orchestrate, Agentic AI, Generative AI, Python, TypeScript, GitHub Enterprise, MCP Servers, IBM Cloud, Hybrid Cloud Technologies, REST APIs, CI/CD Pipelines, Relational and NoSQL Databases, and modern enterprise development tools. What Success Looks Like Successful interns quickly become contributing members of the team. Past interns have built AI-powered solutions that automated manual processes, improved team productivity, and delivered measurable value. By the end of the internship, you will have built and deployed real software solutions, gained experience with modern AI and software engineering practices, expanded your professional network, and developed skills that prepare you for a successful career in software engineering." Experience with software development in Python, Java, JavaScript, TypeScript, or similar technologies Experience using Git or other version control systems Interest in Artificial Intelligence, Generative AI, or Agentic AI solutions Familiarity with cloud platforms such as IBM Cloud, AWS, Azure, or GCP Experience building applications that interact with APIs Exposure to relational or NoSQL databases Familiarity with CI/CD pipelines or automation tools Coursework or personal projects involving AI, machine learning, semantic search, vector databases, or intelligent applications Familiarity with DevOps Tools: Exposure to DevOps tools and practices is beneficial for this role, allowing for smoother collaboration and automation in the software development lifecycle. Knowledge of Front-End Development: Basic understanding of front-end development principles and exposure to front-end development frameworks can be advantageous in designing and delivering comprehensive software solutions. Understanding of L3 Support Engineering: Interest in L3 support engineering and exposure to debugging techniques can be helpful in resolving complex customer-reported issues.