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Summer 2026 Software Engineering, Agentic AI & Test Automation Internship

United States, Bellevue 26.00 - 47.00 USD / Hour · Job Posted March 13, 2026
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Job Description

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.

Job Responsibility

  • 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

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 have

  • 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)

What we offer

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

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