C

Capital One

Issues credit cards and runs a consumer bank

Full Stack Engineer 5 - Global Workforce Services, AI Automation

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science or a related quantitative field, including Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
  • At least 6 years of experience in software engineering; internship experience does not apply.
  • At least 3 years of experience with public cloud platforms such as AWS, GCP, or Azure, cloud-based productivity tools, or virtualization technologies.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full stack systems to create solutions that meet the company's regulatory needs.
  • Architect performant, responsive web interfaces and real-time streaming AI chat and agent interfaces using Next.js, React, TypeScript, and Tailwind CSS.
  • Build resilient, high-throughput microservices and APIs using Python/FastAPI and Node.js/TypeScript, supporting Server-Sent Events and WebSockets for real-time AI responses.
  • Integrate AI agent capabilities into core enterprise systems, databases, third-party APIs, and legacy software using tool-calling and function-calling paradigms.
  • Architect and integrate rule-based, retrieval-augmented, and generative AI systems into unified production pipelines.
  • Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor members of the engineering community.
  • Collaborate with digital product managers to deliver robust cloud-based solutions.
  • Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction.
  • Drive end-to-end design and implementation of large-scale distributed or cloud-native systems with high reliability and performance requirements.
  • Partner with architects and product leaders to define platform roadmaps and shared-services strategy.

Desired Qualifications

  • A master's degree in Computer Science or a related field.
  • At least 2 years of experience building production retrieval-augmented generation pipelines, including chunking, embeddings, vector indexing, graph retrieval-augmented generation, or fine-tuning.
  • At least 2 years of experience leveraging agentic patterns such as tool calling, ReAct loops, plan-and-execute, or multi-agent collaboration.
  • At least 2 years of experience with large language model orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel, and model APIs such as OpenAI, Anthropic, Bedrock, Ollama, or Hugging Face.
  • At least 2 years of experience building agentic AI systems and workflows.
  • At least 2 years of experience developing AI and machine-learning algorithms or technologies, such as large language model inference, similarity search and vector databases, guardrails, or memory, using Python, C++, C#, Java, CUDA, or Golang.
  • At least 2 years of experience right-sizing models, instance counts, and hardware types based on requirements such as context length, token inputs, and token outputs.
  • At least 9 years of experience coding with more than two of Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
  • At least 5 years of experience contributing to open-source frameworks.
  • At least 5 years of experience with front-end JavaScript or TypeScript frameworks.
  • At least 5 years of experience creating synchronous and asynchronous APIs.
  • At least 4 years of experience with databases and database management systems.
  • At least 4 years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
  • At least 4 years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
  • At least 4 years of experience troubleshooting technical issues within cloud environments.
  • At least 3 years of experience mentoring senior engineers and driving professional development within technical teams.
  • At least 2 years of experience using observability to identify and optimize performance bottlenecks in distributed systems.
  • At least 2 years of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies.
  • At least 1 year of experience establishing and enforcing coding standards and design patterns across teams.
  • At least 1 year of experience implementing observability and reliability practices at scale.
  • Experience influencing technology strategy at the portfolio or business-unit level.
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives.

About the Company

Capital One

Issues credit cards and runs a consumer bank

Capital One runs a consumer and commercial bank that issues credit cards, takes deposits, and finances cars and businesses. Its Venture travel cards and Quicksilver cash-back cards let customers earn rewards on everyday spending, while its online banking tools manage payments and savings. Customers use checking and savings accounts through an app, branches, and cash machines, and commercial clients use treasury tools to manage company cash. The bank earns interest on loans and fees from banking and card transactions, with customer deposits helping fund its lending operations. Capital One was founded in 1994 and has its headquarters in McLean, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
1994

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