Summer 2026 Software Engineering, Agentic AI… at T-Mobile · Bellevue

Summary: T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. As a Software Engineering Intern, you will contribute to engineering initiatives that enhance automation, AI adoption, and testing efficiency across telecom platforms. 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 Required Qualifications: - 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 Preferred Qualifications: - 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) Required Skills: Python, AI/ML solutions, CI/CD systems Important Skills: Large Language Models, Machine learning frameworks, Data pipelines Nice-to-Have Skills: Agile methodologies, Log analysis, Anomaly detection, Containerization, Cloud technologies Internship Start Date: Start in 2026 Summer Benefits: Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.