T-Mobile is looking to design, build, and scale the core execution engine that powers its agentic AI experiences across mobile apps, web platforms, and customer support channels.
Requirements
- Fluency in either Python or Java, with working proficiency in the other
- Hands-on experience deploying and operating services using Docker and Kubernetes
- Proficiency leveraging LLMs to accelerate coding and problem-solving
- Computer Science, Software Engineering, Information Management or equivalent experience in field
- Technical engineering experience
- Experience with microservices, workflow engines, and integration layers
- Experience with large language models (LLMs)
Responsibilities
- Develop software solutions and conduct tests to drive engineering projects and ensure quality deliverables
- Contribute to design innovations that improve systems, processes, or services using new frameworks and industry best practices
- Collaborate with technical teams to deliver solutions and mentor others through knowledge sharing and training sessions
- Support technology strategy by evaluating and applying current technologies that align with business goals
- Create clear documentation for software code, system designs, and business requirements to support knowledge sharing
- Develop microservices, workflow engines, and integration layers that connect large language model (LLM) reasoning with network, billing, account, and support systems
- Architect and implement software systems that enable AI-driven decisioning, orchestration, and dynamic customer engagement at massive scale
Other
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field
- Travel Required: Yes
- Legally authorized to work in the United States
- At least 18 years of age
