Lead Engineer Generative AI Product Engineer

2 weeks ago

Washington, Washington, D.C., United States Capital One Full time
Job Title: Lead Engineer Generative AI Product Engineer

Capital One is seeking a highly skilled Lead Engineer Generative AI Product Engineer to join our team. As a key member of our Enterprise AI team, you will be responsible for designing and building large-scale AI and ML products or platforms serving millions of users.

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 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.
Requirements:
  • 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 years 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.
  • Familiarity with deploying AI or ML models in demanding production environments.

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