Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph)

Capital One is a financial services company seeking a Full Stack Engineer to help transform its corporate functions through People Tech. The role focuses on architecting, deploying, and leading enterprise-scale generative AI, autonomous agentic systems, and full-stack solutions that optimize HR processes and improve associate experiences.

Responsibilities:

• 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 TypeScript, Open Source RDBMS and NoSQL 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