Associate AI Engineer

About the Role

As the Assoc Engineer, AI Modeling at T-Mobile, you will support the development and optimization of AI models that enhance customer service automation. This role involves applying techniques such as prompt engineering and fine-tuning to improve AI performance. You will collaborate with cross-functional teams to integrate AI-driven enhancements into production systems, improving customer interactions and satisfaction. By contributing to the architecture of sophisticated AI systems, you will play a key role in ensuring the reliability, accuracy, and efficiency of AI applications in customer service operations.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact in a dynamic, diverse, and inclusive team passionate about growth and transformation.

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.
• 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.
• Collaborate with senior AI engineers, backend engineers, business experts, 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.

Requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field (Master’s degree preferred but not mandatory).
• At least 18 years of age.
• Legally authorized to work in the United States.
• No travel required.

Skills

• Familiarity with LLM fine-tuning and prompt engineering (e.g., OpenAI APIs, Hugging Face, Anthropic Claude, 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.
• Understanding of multi-agent systems and agentic AI concepts.
• Experience with AI evaluation techniques, including test sets, synthetic data generation, and interactive testing.
• 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 Skills

• Exposure to customer service AI applications and intent-driven automation.
• Familiarity with RAG pipelines and vector database retrieval concepts.
• Knowledge of AI middleware development and API integration basics.
• Awareness of cloud AI platforms (AWS, GCP, Azure) and scalable AI system architectures.

Pay

Base pay range: $80,900 - $146,100. The successful candidate’s actual pay will be based on work location, qualifications, and experience. Most Corporate employees are eligible for an annual bonus target of 10% based on company and/or individual performance.

Benefits

• Competitive base salary and compensation package (Total Rewards).
• Annual stock grant and employee stock purchase plan.
• 401(k) retirement plan.
• Free, year-round access to money coaches.
• Medical, dental, and vision insurance.
• Flexible spending account.
• Paid time off (up to 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually).
• Up to 12 paid holidays annually.
• Paid parental and family leave.
• Family building benefits and back-up care.
• Enhanced family support and childcare subsidy.
• Tuition assistance and college coaching.
• Short- and long-term disability coverage.
• Voluntary AD&D, accident, life, and long-term care insurance.
• Mobile service and home internet discounts.
• Pet insurance.
• Commuter and transit programs.