T-Mobile is looking to revolutionize customer service with AI, aiming to improve AI performance and customer interactions through the development and optimization of AI models.
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.
- Familiarity with RAG pipelines and vector database retrieval concepts.
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.
Other
- 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.
- Collaborate with cross-functional teams to integrate AI-driven enhancements into production systems, thereby improving customer interactions and satisfaction.
- 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.
