Description
We are seeking a Lead Software Engineer to build the agentic orchestration runtime that powers Capital One's AI content generation platform. You will own the generator→critic agentic workflow harness , the orchestration engine that coordinates AI agents to produce, evaluate, and refine marketing content through a structured, bounded pipeline , and the broader agentic infrastructure that supports AI-assisted content migration and content management automation.
Responsibilities:
- Build and operate the agentic workflow harness , implement the generator agent, critic agent, multi-section parallel orchestration, and bounded revision loop that form the core of the AI content generation pipeline
- Integrate the agentic pipeline with the enterprise LLM model gateway , manage API calls, handle rate limiting, implement backpressure, and instrument latency and quality metrics.
- 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 experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
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 coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
- 3+ years of experience with database and database management systems
- 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
- 4+ years of experience contributing to open source frameworks
- 3+ years of experience with front-end JavaScript or TypeScript 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
- 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 3+ years of experience troubleshooting technical issues within cloud environments
- Experience leveraging modern AI-based coding tools and IDE copilots
- 1+ year of experience mentoring engineers and driving professional development within technical teams
- 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
- Experience leading cross-functional engineering efforts or large-scale technical initiatives
- Experience establishing and enforcing coding standards and design patterns across teams
Salary Information: Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4 McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4