Washington Staffing
Assoc Engineer, Ai At T-Mobile
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! Are you ready to redefine the future of customer service with the power of AI? The Assoc Engineer, AI at T-Mobile is instrumental in supporting the development and optimization of AI models that revolutionize how millions of customers interact with us every day. This role involves applying techniques such as prompt engineering, fine-tuning and Agentic AI to improve AI performance, under the guidance of senior engineers. 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! If you are passionate about driving excellence and want to make a significant impact, apply today! 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. Knowledge, Skills, and Abilities: 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 Knowledge, Skills, and Abilities: 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
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! Are you ready to redefine the future of customer service with the power of AI? The Assoc Engineer, AI at T-Mobile is instrumental in supporting the development and optimization of AI models that revolutionize how millions of customers interact with us every day. This role involves applying techniques such as prompt engineering, fine-tuning and Agentic AI to improve AI performance, under the guidance of senior engineers. 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! If you are passionate about driving excellence and want to make a significant impact, apply today! 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. Knowledge, Skills, and Abilities: 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 Knowledge, Skills, and Abilities: 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