Are you a recent Computer Science graduate excited about backend development, cloud-native technologies, and AI? Join IBM’s AI Services squad to help build innovative solutions that integrate generative AI into hybrid cloud environments. This is a hands-on opportunity to apply your CS education in real-world projects and grow into a full-stack cloud-native developer.
Why Join Us?
Work on impactful AI applications in a hybrid cloud environment.
Be mentored by industry experts and grow your technical and professional skills.
Collaborate in a global, agile team that values innovation, inclusion, and continuous learning.
What You'll Learn
• Cloud platforms: IBM Cloud, AWS, Azure, GCP
• Infrastructure as Code: Terraform, Ansible
• AI/ML frameworks: PyTorch, TensorFlow, Scikit-learn
• DevOps tools: Git, Jenkins, and container orchestration
• Backend architecture and API development
• Develop backend services using Python and learn GoLang for scalable cloud-native applications.
• Work with Linux systems, Docker/Podman containers, and orchestration platforms like Kubernetes/OpenShift.
• Collaborate on building and integrating AI applications, including those using Large Language Models (LLMs) and OpenAI APIs.
• Participate in Agile development cycles and contribute to CI/CD pipelines and infrastructure automation.
• Work closely with experienced engineers to learn best practices in system design, performance optimization, and cloud operations.
• Bachelor’s degree in Computer Science or related field.
• Strong foundation in Linux, Python, and software development principles.
• Familiarity with cloud-native concepts, containers, and basic networking.
• Exposure to AI/ML development through coursework, internships, or personal projects.
• Strong problem-solving and communication skills.
• Willingness to learn new technologies like GoLang, Kubernetes, and Generative AI frameworks.
• Hands-on experience with LLMs, OpenAI APIs, or generative AI tools.
• Experience with Git, REST APIs, and cloud services.
• Contributions to open-source projects or technical communities.