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Niche PIM plus LLM/agent skills and preferred Inriver experience reduce candidate density despite metro location.
Strong PIM/Inriver domain requirements limit cross-industry transferability despite transferable AI engineering skills.
Explicit 6–8 years plus C#/.NET, Azure AI, and Inriver/PIM preferences enforce strict filters.
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Lead engineering and optimization of AI-powered PIM (Product Information Management) workflows utilizing Inriver Inspire AI and related AI frameworks to enhance product content quality and enrichment automation.
Design, build, and integrate AI-driven automation, validation, and data transformation pipelines, including bulk data onboarding and API-based system integrations.
Evaluate and operationalize AI tools and frameworks to improve productivity in product content lifecycle while ensuring AI governance, security, and compliance.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
6-8 years engineering experience with C#, .NET, REST APIs, and MS SQL Server.
2+ years hands-on experience developing AI-driven applications involving LLM workflows, prompt orchestration, or content generation systems.
Experience with Azure OpenAI or similar LLM platforms and practical AI agent frameworks like Azure AI Orchestration, Semantic Kernel, or Lang Chain.
Experienced in advanced PIM concepts including data modeling, enrichment, validation, localization, and taxonomy within enterprise settings, preferably with Inriver PIM.
Skilled at designing and implementing scalable, enterprise-grade AI solutions incorporating multi-agent systems, retrieval-augmented generation, and automation workflows.
Capable of driving cross-functional collaboration among engineering, product marketing, and data governance teams with strong debugging, optimization, and AI governance skills.