Build software solutions to iterate on AI content generation services
Develop channel-specific content builders for email, mobile app placements, web site placements and push notifications
Implement AI-assisted compliance review workflows
Contribute to multi-agent orchestration systems
Build evaluation and observability tooling for LLM outputs
Develop template and component systems
Write well-tested, production-ready code
Lead the design of end-to-end content generation features
Define guardrail frameworks for LLM outputs – toxicity filters, brand voice enforcement, compliance boundary checks

Requirements

Bachelor’s Degree
At least 6 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
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

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 integrationmodel APIprompt engineeringAI-augmented feature generation

Soft Skills

leadershipdesigncollaborationcommunicationproblem-solving

Certifications

Bachelor’s Degree