The Marketing Software and AI Marketing Engineer

Atlanta, GA - USA

Monthly Salary: Not Disclosed

Posted on: 1 hour ago

Vacancies: 1 Vacancy

Job Summary

Job Title- The Marketing Software and AI Marketing Engineer

Location- Remote

Client- CEI Group

The Marketing Software and AI Marketing Engineerwill serve as the technical architect and builder for an evolution in Martech and Marketing Operations with a focus on AI transformation. This is a hands-on role ideal for a full-stack software engineer experienced with AI agents and APIs. You will build deploy and maintain the tools that power AI-assisted marketing workflows from LLM-based agents to Martech automation. Using your software engineer foundation with an experimental mindset youll work closely with both internal and external stakeholders and Hasbros global marketing IT and governance teams to bring real-world use cases to life. This includes both net-new development and the systems needed to support scale: instrumentation QA compliance and version control.

Key Responsibilities

Build and deploy automated agents for marketing use cases (content generation copy assistance personalization automation)
Develop and maintain prompt chains context profiles and secure API wrappers
Integrate with Hasbros Martech stack (CRM CMS analytics data warehouses)
Own the AI deployment lifecycle: prompt versioning rollback support sandboxing validation and performance monitoring
Design instrumentation and success metrics to evaluate agent performance and content quality
Support data governance QA and compliance with internal policies and external regulations
Document systems deployment protocols and technical standards for future scaling Qualifications
3-6 years in software engineering with proven success in defining test cases and making designs or architectures
AI tooling and applied ML development
Proficient in Python JavaScript/TypeScript APIs Git and cloud services (AWS Azure or GCP)
Experience with OpenAI Claude Bedrock LangGraph or similar frameworks
Experience with LLM validation tools such as Ragas or DeepEval as well as non-LLM-as-a-judge approaches
Skilled in experimentally driven human-computer interaction (HCI) or data analytics/data science with good eye for design and ability to create valid experiments identifying assumptions limitations and theoretically grounded predictions
Familiarity with marketing systems user workflows and enterprise security best practices
Ability to translate marketing concepts into modular testable systems
Strong ownership mindset and comfort operating in pilot-to-scale environments

Job Title- The Marketing Software and AI Marketing Engineer Location- Remote Client- CEI Group The Marketing Software and AI Marketing Engineerwill serve as the technical architect and builder for an evolution in Martech and Marketing Operations with a focus on AI transformation. This is a hands-on...

Job Title- The Marketing Software and AI Marketing Engineer

Location- Remote

Client- CEI Group

Build and deploy automated agents for marketing use cases (content generation copy assistance personalization automation)
Develop and maintain prompt chains context profiles and secure API wrappers
Integrate with Hasbros Martech stack (CRM CMS analytics data warehouses)
Own the AI deployment lifecycle: prompt versioning rollback support sandboxing validation and performance monitoring
Design instrumentation and success metrics to evaluate agent performance and content quality
Support data governance QA and compliance with internal policies and external regulations
Document systems deployment protocols and technical standards for future scaling Qualifications
3-6 years in software engineering with proven success in defining test cases and making designs or architectures
AI tooling and applied ML development
Proficient in Python JavaScript/TypeScript APIs Git and cloud services (AWS Azure or GCP)
Experience with OpenAI Claude Bedrock LangGraph or similar frameworks
Experience with LLM validation tools such as Ragas or DeepEval as well as non-LLM-as-a-judge approaches
Skilled in experimentally driven human-computer interaction (HCI) or data analytics/data science with good eye for design and ability to create valid experiments identifying assumptions limitations and theoretically grounded predictions
Familiarity with marketing systems user workflows and enterprise security best practices
Ability to translate marketing concepts into modular testable systems
Strong ownership mindset and comfort operating in pilot-to-scale environments