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
Develop channel-specific content builders for email, mobile app placements, web site placements and push notifications, with responsive rendering and preview capabilities
Implement AI-assisted compliance review workflows – build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval
Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch
Build evaluation and observability tooling for LLM outputs – golden dataset benchmarks, A/B content quality metrics and drift detection
Develop template and component systems that allow marketers to assemble compliant content from pre-approved building blocks across channels
Write well-tested, production-ready code and participate in CI/CD pipeline development, including model evaluation pipeline
Lead the design of end-to-end content generation features; write architecture proposals and drive cross-team alignment
Define guardrail frameworks for LLM outputs – toxicity filters, brand voice enforcement, compliance boundary checks – and establish operational runbooks
Utilize programming languages like Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Requirements

Bachelor’s Degree
At least 4 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Master’s Degree (Preferred)
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

Benefits

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaGoTypeScriptJavaScriptNode.jsLLM integrationprompt engineeringAI-augmented feature generationcontainer orchestration

Soft Skills

leadershipcross-team alignmentcommunication

Certifications

Bachelor's DegreeMaster's Degree