GenAI & Agentic Systems Full-Stack Engineer

Capital One; San Francisco (CA); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One seeks Full Stack Engineer 4 to lead and build enterprise-scale, AI-enabled HR tech platforms. You will shape LLM-driven capabilities, design autonomous agentic AI solutions, and collaborate across teams to ensure secure, scalable delivery.

You’ll work with Java, Python, and modern web stacks, leveraging AWS, Docker, and Kubernetes, while mentoring engineers and guiding best practices in agile delivery.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• At least 4 years of software engineering experience.
• At least 2 years of public cloud experience (AWS, GCP, or Azure).
• Experience with open source frameworks and AI-enabled architectures.

Responsibilities

• Architect LLM-driven capabilities for enterprise HR processes.
• Design and deploy autonomous agentic AI solutions and multi-agent workflows.
• Collaborate with security and risk teams to ensure secure implementations.
• Lead cross-functional engineering teams and drive best practices.

Skills

Java

Python

JavaScript

TypeScript

Go

Scala

SQL

Education

Bachelor's degree in Computer Science

Master’s degree (preferred)

Tools

AWS

Docker

Kubernetes

LangChain

LangGraph

NoSQL

RDBMS

Job description

Capital One seeks Full Stack Engineer 4 to lead and build enterprise-scale, AI-enabled HR tech platforms. You will shape LLM-driven capabilities, design autonomous agentic AI solutions, and collaborate across teams to ensure secure, scalable delivery.

You’ll work with Java, Python, and modern web stacks, leveraging AWS, Docker, and Kubernetes, while mentoring engineers and guiding best practices in agile delivery.