Hasbro Inc. - AI Marketing Software Engineer Temporary Position
AI Developer is needed in United States.
Client: Hasbro Inc.
Location: United States
Contract: Temporary
Job Description
At Hasbro, our mission is to entertain and connect generations of fans through the wonder of storytelling and exhilaration of play. We’re looking for adventurous and curious people who want to explore, experiment, and innovate to come up with the best ideas. Our culture has inspired our diverse team of highly skilled, highly creative, and highly committed individuals for 100 years, and we believe the best is yet to come.
The Marketing Software and AI Marketing Engineer will serve as the technical architect and builder for an evolution in Martech and Marketing Operations, focusing 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, you’ll work closely with both internal and external stakeholders, and Hasbro’s 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 Hasbro’s 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+ 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 a 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
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