Associate AI Engineer

T-Mobile•Bellevue, WA

1d•$80,900 - $146,100•Onsite

About The Position

The Assoc Engineer, AI Modeling at T-Mobile is instrumental in supporting 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. The Assoc Engineer collaborates with cross-functional teams to integrate AI-driven enhancements into production systems, thereby improving customer interactions and satisfaction. By contributing to the architecture of sophisticated AI systems, this role supports the strategic enhancement of T-Mobile's AI capabilities. Overall, the Assoc Engineer plays 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 in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today!

Requirements

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.
Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field required.
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

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.
Master’s degree preferred but not mandatory.

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.