Design, build, and operate scalable backend services that integrate with internal and external language models. Develop GPU-backed integrations that support large-scale production machine learning workloads. Evaluate end-to-end production systems to ensure the quality, reliability, and performance of AI-powered experiences. Work directly with customers and partner teams to solve challenging retrieval and AI problems. 1. Design, build, and maintain Azure backend services and associated APIs. Work directly with GPUs to support production ML workloads at scale. Contribute to team plans, documents, and communication in a clear and efficient way. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Development of Azure Services with full understanding of service release and live-site responsibilities. Coding in C# and Python in a production system. Ability to move fast while ensuring quality at scale in a collaborative team setting. Development experience with large language models. Development experience with GPU based models and model hosting. 2+ years' experience developing and deploying live production systems as part of a product team. Coding in C++ or Java in a production system. Excellent hybrid work skills - clear synchronous and asynchronous communication, strong teamwork, and collaboration skills Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action. Problem solver: ability to solve problems that the world has not solved before.