Associate AI Engineer

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!

Responsibilities

• Assist in building agentic AI systems that accomplish complex tasks by invoking Generative AI models as well as internal and third-party tools using APIs.
• Author, update, and validate prompts, agent workflows, and configurations using established team patterns and guidance from senior engineers.
• Support optimization of AI system performance through prompt engineering, fine-tuning, and reinforcement learning.
• Develop and maintain supporting software components, scripts, and pipelines to enable AI model deployment, testing, evaluation, and monitoring.
• Assist in implementing retrieval-augmented generation (RAG) techniques to ensure AI responses are contextually accurate and grounded in real-time data.
• Support golden test sets, regression examples, and evaluation scenarios for conversational and self-service experiences.
• Prepare tool/API parameters, response mappings, mocked examples, and error cases against agreed API contracts.
• Review traces, logs, dashboards, and evaluation outputs to identify anomalies and escalate issues clearly.
• Collaborate with senior AI engineers, backend engineers, business experts, quality engineering, product, vendor partners, and conversation designers to integrate AI-driven solutions into production environments.
• Stay up to date with latest LLM advancements in prompt design, few-shot learning, tool integration protocols like MCP, and AI orchestration frameworks like Agent SDK.
• Help define and track success metrics aligned with business requirements and contribute to improving model quality.
• Participate in other duties or projects as assigned.

Knowledge, Skills, and Abilities

• Familiarity with LLM fine-tuning and prompt engineering, such as OpenAI APIs, Hugging Face, Anthropic Claude, or Google Gemini.
• Exposure to AI orchestration tools such as LangChain, LlamaIndex, and vector databases for retrieval augmented generation.
• Basic knowledge of function calling and API-based reasoning models to support automated workflows.
• Proficiency in Python and willingness to learn AI development frameworks.
• Foundational understanding of APIs, JSON, Git-based collaboration, and software delivery workflows.
• Understanding of multi-agent systems and agentic AI concepts.
• Experience with AI evaluation techniques, including test sets, synthetic data generation, regression examples, and interactive testing.
• Ability to write clear documentation, ask effective questions, communicate blockers early, and follow established engineering standards.
• Strong collaboration, communication, and problem-solving skills; ability to work with cross-functional teams.
• Familiarity with Agile development environments to facilitate rapid AI prototyping and iterations.

Preferred Knowledge, Skills, and Abilities

• Exposure to customer service AI applications and intent-driven automation.
• Internship, academic, bootcamp, or project experience building LLM applications, conversational applications, automation workflows, or API integrations.
• Familiarity with RAG pipelines and vector database retrieval concepts.
• Knowledge of AI middleware development and API integration basics.
• Exposure to tool/function calling, structured outputs, knowledge-layer integration, or agent orchestration.
• Exposure to evaluation concepts such as test sets, rubric-based scoring, regression testing, or synthetic data.
• Familiarity with SQL, dashboarding, log analysis, AWS, Docker, Kubernetes, CI/CD, or Agile/Scrum delivery.
• Awareness of cloud AI platforms (AWS, GCP, Azure) and scalable AI system architectures.

Education

• Bachelor's degree in computer science, Artificial Intelligence, or a related field (Required)
• Master's degree preferred.

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

***This base pay range is the National Base Pay Range - please click on the link in the 2nd paragraph below to find the range for the location(s) listed.***

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.