Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

Capital One Senior Engineer - Generative AI Product Engineering Remote-Eligible 
United States, Virginia, Arlington 
444130352

27.07.2024
Center 3 (19075), United States of America, McLean, Virginia Senior Engineer - Generative AI Product Engineering (Remote-Eligible)

We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world-class AI engineers and researchers to design and implement key API products and services that enable real-time customer-facing applications. Examples of projects you will work on include:

  • Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs.

  • Design APIs for performance, real-time applications, scale, ease of use and governance automation.

  • Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.

  • Enable our 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.

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Computer Engineering or a technical field

  • At least 4 years of experience designing and building and deploying ML application platforms.

  • At least 4 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

Preferred Qualifications:

  • 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.

  • Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.

  • Experience at tech and product-driven companies/startups preferred.

  • Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.

  • Have experience with API security, observability, cloud access control and privacy best practices.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.