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Senior AI Engineer

2 months ago

San Jose, California, United States Capital One Full time
Capital One - Generative AI Product Engineer

Capital One is a leader in using machine learning to create real-time, intelligent, automated customer experiences. We are committed to building world-class applied science and engineering teams and continue our industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

We are seeking 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.

Key Responsibilities:
  • 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 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.
Requirements:
  • 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 products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
  • 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.
  • Familiarity with deploying large neural network models in demanding production environments.
  • Experience with API security, observability, cloud access control, and privacy best practices.

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