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The Distinguished Engineer will focus on building the foundations of enterprise AI capabilities, designing robust infrastructure, deploying large-scale distributed training clusters, and implementing MLOps for foundation models, all while collaborating with AI engineers and researchers.
As a Distinguished Engineer, you will lead the development of AI capabilities, designing reliable, large-scale distributed systems for training AI models. Key tasks include creating fault-tolerant infrastructure, optimizing cloud resources, and implementing MLOps for foundation models while collaborating with a team of AI engineers.
The Distinguished Engineer will design and build secure, fault-tolerant infrastructures to support large-scale ML training tasks and deploy LLMs on cloud instances. Responsibilities include creating robust benchmarking systems, developing applications that utilize LLMs and FMs, and implementing MLOps capabilities within the enterprise AI infrastructure.
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The Lead Engineer for Generative AI will architect and manage APIs and SDKs that enable training and use of AI models at scale. Responsibilities include designing interfaces for performance and governance, enhancing user experience with LLMs, and ensuring operational health and safety in AI systems.
The Lead Engineer will build and maintain APIs and SDKs for LLMs and FMs, working on projects that enhance customer experiences and develop tools for monitoring API usage. Responsibilities include architecting and deploying core APIs, designing for performance and ease of use, and implementing AI safety features.
As a Lead Engineer for Generative AI, you will architect and deploy APIs and SDKs for training and accessing AI models using public cloud infrastructure. You will design systems for real-time applications, enhance user experiences with LLMs and Foundation Models, and monitor API health, ensuring safety and governance in AI applications.
As a Lead Engineer for Generative AI, you will architect and maintain APIs and SDKs for training and accessing AI models, develop user interfaces leveraging LLMs and FMs, and implement AI safety measures. You will work with a team to ensure high-performance API products and enable new Generative AI capabilities for customer-facing applications.
As a Lead Engineer for Generative AI at Capital One, you'll design and implement APIs and SDKs for large language models, enhance user experiences, and ensure operational health. You will collaborate with a team to develop tools for monitoring and build systems that integrate AI capabilities within applications.
As a Lead Engineer for Generative AI Product Engineering, you will design and manage APIs and SDKs for AI models, working on real-time customer applications, ensuring performance and safety in AI interactions, and collaborating with a skilled team to enhance AI capabilities and infrastructure.
As a Senior Software Engineer, you will develop new applications and services while maintaining existing ones. You'll collaborate with product managers, mentor team members, and drive technical designs, utilizing various languages and cloud technology to enhance customer financial empowerment.
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