Summer 2026 Software Engineering, Agentic AI & Test Automation Internship
About The Position
T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop! Get hands-on experience, training—and a leg up on a bright future. Learn. Achieve. Build a career. T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way! This is an 11-week paid learning experience during which you’ll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You’ll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We’ll give you hands-on projects and the chance to create an immediate impact. What It's Like Our engineering organization designs, builds, and supports a wide range of platforms and tools that enable large‑scale telecom testing and automation. This includes: In-house test orchestration platforms Jenkins-based CI/CD backend systems Robo/Robot Framework automation pipelines Vendor tool integrations for engineering and test nodes Data platforms for log analysis, KPI reporting, and network performance insights AI/ML-powered solutions that enhance testing efficiency and streamline engineering workflows What You'll Do As a Software Engineering Intern, you will contribute to engineering initiatives that enhance automation, AI adoption, and testing efficiency across telecom platforms. Depending on project needs, you may work on one or more of the following: Design and develop AI‑powered automation solutions to improve telecom test efficiency Build Python‑based backend components that integrate with CI/CD systems such as Jenkins Develop and evaluate LLM‑based solutions (e.g., Azure OpenAI, RAG workflows, agent frameworks) for analyzing logs, alarms, and KPI datasets Create intelligent workflows for anomaly detection and root‑cause analysis Integrate APIs and vendor platforms into internal orchestration and automation tools Work with large engineering datasets, including logs, time‑series KPIs, and performance metrics Participate in Agile ceremonies, such as daily standups, sprint planning, and team demos Present project findings and a final technical deliverable to engineering leadership This is a hands-on engineering internship — not a shadowing role.
Requirements
- At least 18 years of age
- Legally authorized to work in the United States
- Must be actively enrolled in a Bachelors or Graduate degree program
- Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
- Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.
Nice To Haves
- Experience working with Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG) architectures, or agent frameworks
- Familiarity with AI/ML ecosystems, including Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, or vector databases
- Hands‑on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit‑learn
- Exposure to log analysis, anomaly detection, or time‑series data processing
- Experience with containerization and cloud technologies, including Docker, Kubernetes, or cloud platforms (Azure/AWS)
Responsibilities
- Design and develop AI‑powered automation solutions to improve telecom test efficiency
- Build Python‑based backend components that integrate with CI/CD systems such as Jenkins
- Develop and evaluate LLM‑based solutions (e.g., Azure OpenAI, RAG workflows, agent frameworks) for analyzing logs, alarms, and KPI datasets
- Create intelligent workflows for anomaly detection and root‑cause analysis
- Integrate APIs and vendor platforms into internal orchestration and automation tools
- Work with large engineering datasets, including logs, time‑series KPIs, and performance metrics
- Participate in Agile ceremonies, such as daily standups, sprint planning, and team demos
- Present project findings and a final technical deliverable to engineering leadership
- Prototype and implement LLM‑based agents using enterprise‑approved tools such as OpenAI, Claude, or Windsurf
- Design and build data pipelines to process telecom logs, time‑series KPIs, and performance metrics
- Collaborate with domain subject‑matter experts (SMEs) to translate complex telecom requirements into practical automation solutions
- Document system architecture, workflows, and key technical decisions to support ongoing development and knowledge sharing
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What This Job Offers
Career Level
Intern
