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Full Stack Engineer - Tech- GenAI & Agentic Systems; LangChain, LangGraph

Job in McLean, Fairfax County, Virginia, USA
Listing for: Capital One
Full Time position
Listed on 2026-09-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 197300 - 225100 USD Yearly USD 197300.00 225100.00 YEAR
Job Description & How to Apply Below
Position: Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph)

Full Stack Engineer 4 - People Tech - GenAI & Agentic Systems (Lang Chain, Lang Graph)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies.

In this role, you’ll be at the forefront of driving a major transformation across Capital One.

People Tech is responsible for the digital transformation and operational excellence of Capital One's corporate functions. Our core mission is to innovate and transform the Human Experience by providing robust technical solutions for a diverse portfolio, including HR, Legal, Brand, and Global Workplace Services. This mission is powered by our Engineering, Data, and Enablement Towers, which build the scalable platforms and data driven insights necessary for long term stability and security.

To ensure we move with purpose, our team connects the dots across the organization, driving architectural consistency and fostering an environment of experimentation. Together, we ensure that People Tech is not just executing tasks, but strategically evolving to meet the future needs of our associates and the enterprise.

What You'll Do:
  • Architect how we lean into LLM-driven capabilities and HRTech innovations to build systems used on an enterprise-scale to optimize HR processes and elevate the global associate experience.
  • Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows that automate complex HR capabilities across our global enterprise footprint.
  • Partner with security, governance, and risk teams to ensure all AI-enabled capabilities and agentic workflows are implemented in a secure, compliant, and well-managed manner.
  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful global associate experiences.
  • Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and Type Script, Open Source RDBMS and No

    SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
  • Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence for AI-enabled full stack applications.
  • Partner with architects to define service boundaries, integration patterns, AI agent execution environments, and reusable frameworks.
  • Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance.
  • Influence long-term technology strategy through evaluation of emerging tools and practices in a 'you build it, you own it' environment.
Basic Qualifications:
  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 4 years of experience in software engineering (Internship experience does not apply)
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Preferred Qualifications:
  • Master’s Degree in Computer Science or a related field
  • 7+ years of experience in coding with more than two of the following:
    Python, Java, JavaScript, Type Script, SQL, or Go
  • 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
  • 3+ years of experience with database and database management systems
  • 4+ years of experience contributing to open source frameworks
  • 4+ years of experience creating synchronous and asynchronous APIs
  • 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
  • Experience with interactive AI tooling to accelerate…
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