Capital One
Full-stack Engineer 4, Agentic Technology
$179K–$225K
McLean, VA +1 · Full-time · Posted Sep 29, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years in software engineering and at least 2 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience ranges from 1+ to 7+ years, depending on the skill area.
- Education
- Bachelor's degree or higher in Computer Science or a related quantitative field; a Master’s degree in Computer Science or a related field is preferred.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Build and operate an agentic orchestration runtime for AI-generated marketing content, including workflows that generate, evaluate, and refine content and support content migration and management automation.
What you'll do
- Develop the generator–critic workflow harness, including parallel orchestration and bounded revisions.
- Integrate the pipeline with the enterprise LLM gateway and manage rate limits, backpressure, latency, and quality metrics.
- Lead engineering projects and developers delivering cloud-based, full-stack solutions that meet regulatory needs.
What they ask for
- Bachelor's degree or higher in Computer Science or a related quantitative field.
- At least 4 years of software engineering experience; internship experience does not apply.
- At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
Nice to have
- Master’s degree in Computer Science or a related field.
- Experience with AI coding tools, cloud systems, APIs, databases, observability, mentoring, or technical leadership.
Pay
$179,400 - $204,700 USD base salary; $197,300 - $225,100 USD base salary
Tools
JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go, AWS
AI focus
Build an agentic AI content generation pipeline with generator and critic agents, bounded revisions, parallel orchestration, and infrastructure for AI-assisted content migration and management automation.
Model-written summary · the original posting is authoritative