1 day ago
Base Salary
$133k - $240k/yr
Responsibilities
- Design, develop, and deploy scalable generative AI applications, LLM-powered solutions, and agentic AI systems for enterprise operations and customer service automation.
- Architect AI agents and multi-agent orchestration workflows using LangGraph, LangChain, or equivalent frameworks.
- Develop retrieval-augmented generation solutions using embeddings, vector databases, semantic search, document processing, and enterprise knowledge sources.
- Build and integrate RESTful APIs, Model Context Protocol connectors, and enterprise data services.
- Optimize prompts, model selection, retrieval, fine-tuning, and inference strategies for AI performance.
- Design evaluation frameworks measuring accuracy, hallucination rates, reliability, latency, throughput, and cost efficiency.
- Develop cloud-native AI solutions with scalable architectures, containerization, and automated deployment.
- Implement authentication, authorization, data privacy, prompt-injection protection, governance, and responsible AI practices.
- Establish observability, logging, monitoring, and troubleshooting for production AI applications and agentic workflows.
- Collaborate with engineering, architecture, product, cybersecurity, operations, and business teams to integrate AI enhancements.
- Conduct design and code reviews, mentor engineers, and contribute to reusable engineering standards.
- Research emerging AI technologies and open-source frameworks and identify opportunities for continuous improvement.
Requirements
- Bachelor’s degree plus five years of related work experience, or an advanced degree plus three years of related work experience.
- Strong proficiency in Python, software engineering principles, and object-oriented programming.
- Experience designing, developing, securing, and integrating RESTful APIs using FastAPI or equivalent technologies.
- Hands-on experience with large language models, prompt engineering, structured outputs, function calling, and tool integration.
- Experience developing AI agents, tool-calling workflows, and orchestration solutions with LangGraph, LangChain, or similar frameworks.
- Knowledge of embeddings, vector databases, semantic retrieval, document processing, and data integration.
- Experience developing and deploying applications on Azure, AWS, or Google Cloud.
- Proficiency with Git, automated testing, production software development, and deployment practices.
- Ability to design scalable, secure, reliable, and maintainable distributed applications.
- Strong analytical skills and experience with structured and unstructured data, model evaluation, benchmarking, and AI quality assurance.
- Preferred experience with Model Context Protocol and enterprise AI tool integrations.
- Preferred experience with Docker, Kubernetes, and cloud-native AI deployment tooling.
- Preferred experience includes at least four years developing and optimizing AI models for customer service automation, architecting agentic AI systems, and integrating AI enhancements into production systems.
- Preferred certifications include Certified Analytics Professional, NVIDIA Deep Learning AI Certification, or Certified Data Scientist.
- Applicants must be at least 18 years old and legally authorized to work in the United States.
Benefits
- Medical, dental, and vision insurance; flexible spending account; 401(k); employee stock grants; employee stock purchase plan; paid time off; and up to 12 paid holidays.
- Paid parental and family leave, family-building benefits, backup care, enhanced family support, childcare subsidy, tuition assistance, college coaching, and disability coverage.
- Voluntary accident, life, disability, and long-term care insurance, plus mobile service and home internet discounts, pet insurance, and commuter and transit programs.
- The position requires no travel and is not DOT-regulated or safety-sensitive.
- Employees receive access to annual stock grants, money coaching, and other wealth-building opportunities.
Categories
About T-Mobile
T-Mobile provides nationwide 5G and 4G LTE wireless services for consumers and businesses, along with fixed wireless home internet and IoT connectivity. It sells mobile plans, devices, and enterprise wireless solutions under the T-Mobile, Metro by T-Mobile, and Mint Mobile brands. Headquartered in Bellevue, WA, the company trades on NASDAQ as TMUS and is majority-owned by Deutsche Telekom.