AI Engineer, Marketing AI Automation

Overview:

AI Engineer – Marketing Automation

Join Revvity Signals as an AI Engineer dedicated to transforming marketing operations through intelligent automation. In this unique role, you'll serve as the sole developer for marketing automation initiatives, owning the complete software development lifecycle from concept to production. You'll design, build, and maintain AI-powered tools that streamline workflows across our marketing department, directly impacting how marketers, content creators, and lead processing teams work every day.

Working primarily in JavaScript and Python, you'll integrate cutting-edge large language models (LLMs) and AI services into practical, production-grade solutions. This is a high-impact position where your work will be immediately visible and valued—you'll gather requirements directly from stakeholders, architect solutions, deploy to production, and provide ongoing support. If you're passionate about applying AI to solve real business problems and thrive in an environment where you can own your projects end-to-end, this role offers exceptional autonomy and influence within the Revvity Signals marketing organization.

Key Responsibilities 

• Design, build, deploy, and maintain AI-powered automation tools that streamline workflows for the marketing department and adjacent teams 

• Translate non-technical requirements from marketing team members into clean, maintainable software with appropriate AI components 

• Own projects end-to-end: gather requirements, plan the technical approach, write the code, deploy and host the solution, and provide ongoing maintenance and support 

• Develop AI-driven integrations between internal systems and external marketing platforms  

• Maintain and administer the marketing team's Asana workspace, including project structure, custom fields, automation, integrations, and ongoing optimization to support team workflows 

Required Technical Skills 

• Proficiency in software scripting, preferably JavaScript and Python, with the ability to write production-quality code in both 

• Hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic Claude, or similar) into applications 

• Practical prompt engineering skills - able to design, test, and iterate on prompts for reliable production behavior 

• Full stack development experience, including front-end and back-end implementation 

• Understanding of working with APIs (REST), webhooks, and integrating third-party services 

• Familiarity with deploying and hosting applications (cloud platforms, serverless functions, or similar) 

• Comfort with Git and standard version control workflows 

Basic Qualifications:

• 1-2 year of software development experience (internships, contract work, and substantial personal projects count) 

• Demonstrated experience building with LLMs or AI APIs, whether through professional work, side projects, or coursework