Summer 2026 AI Platform Engineering Internship

• Prototype AI platform capabilities focused on Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication
• Build proof-of-concept solutions that demonstrate how agents share context, coordinate, and operate across systems
• Evaluate design patterns, tradeoffs, and developer experience for emerging AI platform standards
• Produce working prototypes and documentation that inform future platform and product decisions
• Build shared platform components and reference implementations that enable agent coordination, context propagation, and integration across services
• Design and prototype observability for AI platforms, including tracing agent interactions, context flow, and failure modes
• Evaluate platform-level concerns such as scalability, reliability, and developer experience for emerging AI standards

• Strong software engineering fundamentals with experience in Python, Java, Go, or TypeScript
• Interest in AI platform engineering concepts, including agent-based systems and context management
• Familiarity with LLM-powered applications and agent frameworks (usage and integration, not model training)
• Understanding of APIs, distributed system basics, and platform observability concepts
• Exposure to Docker, cloud platforms, and collaborative development workflows
• 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

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