Lead Software Engineer

Capital One Capital One · Banking · McLean, VA +1

Lead Software Engineer to build an AI-powered marketing content layer, integrating LLMs into content generation, channel-specific builds, and AI-assisted compliance workflows. The role involves developing multi-agent orchestration systems for content review and dispatch, building evaluation and observability tooling for LLM outputs, and defining guardrail frameworks.

What you'd actually do

  1. Build software solutions to iterate on AI content generation services - integration of LLM’s into content authoring workflows with prompt management, output validation and Human-In-The Loop review.
  2. Develop channel-specific content builders for email, mobile app placements, web site placements and push notifications, with responsive rendering and preview capabilities.
  3. Implement AI-assisted compliance review workflows – build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval.
  4. Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch.
  5. Build evaluation and observability tooling for LLM outputs – golden dataset benchmarks, A/B content quality metrics and drift detection.

Skills

Required

  • Bachelor's Degree
  • 4 years of professional software engineering experience
  • 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Python

Nice to have

  • Master's Degree
  • 5+ years of experience with Python
  • 3+ years of experience in at least one of the following: Java, Go, TypeScript/JavaScript or Node.js
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 1+ years of experience in at least one of the following: LLM integration, model API, prompt engineering or AI-augmented feature generation.
  • 1+ years of experience in at least one of the following: Marketing Technology, ESP’s, campaign management, content personalization or digital marketing platforms.
  • 1+ years of experience in at least one of the following: MJML or Apache Volocity

What the JD emphasized

  • AI-powered marketing content layer
  • LLM-integrated content generation pipelines
  • AI-assisted compliance workflows
  • multi-agent orchestration systems
  • evaluation and observability tooling for LLM outputs
  • guardrail frameworks for LLM outputs
  • LLM integration, model API, prompt engineering or AI-augmented feature generation

Other signals

  • LLM-integrated content generation pipelines
  • AI-assisted compliance workflows
  • multi-agent orchestration systems