Lead AI Engineer, Generative Product Engineering
4 weeks ago
We are seeking an experienced Lead Engineer to join our Enterprise AI team and help build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale.
Key Responsibilities- Design and implement key API products and services that enable real-time customer-facing applications.
- Work with a team of world-class AI engineers and researchers to architect, build, and deploy well-managed core APIs and SDKs to access Large-Language Models (LLMs) and Foundation Models (FMs).
- Develop application-specific interfaces that leverage LLMs and FMs to enhance the associate and customer experience.
- Enable users to build new GenAI capabilities.
- Develop tools and processes to monitor API access patterns and operational health.
- Design and implement AI safety and guardrails in the API layer working closely with researchers.
- Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
- At least 6 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques.
- At least 6 years of experience programming with Python, Go, Scala, or Java.
- At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.
- Familiarity with building large-scale AI and ML products or platforms serving millions of users.
- Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.
- Experience with Kubernetes and KubeFlow workloads is preferred.
- Familiarity with the Model Development Lifecycle and MLOps preferred.
- Experience architecting cloud systems for security, availability, performance, scalability, and cost.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
Learn more at the Capital One Careers website.
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