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Remote role and popular mid-level ML/AI title increase applicant density moderately.
Core LLM, data engineering, and retrieval skills are broadly transferable across industries.
Mandatory 2+ years plus hands-on LLM, RAG and technical stack requirements make screening strict.
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Develop and maintain AI-ready data access and workflows including catalog data, document ingestion, and retrieval processes under AI platform leadership.
Support integration of trusted business data sources (e.g., Infor ERP) and implement semantic and structured search solutions across product and customer data.
Test, document, and troubleshoot AI models, retrieval workflows, embeddings, RAG pipelines and chatbot telemetry to ensure accuracy, source grounding, and performance improvement.
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, AI, or related technical field preferred; equivalent experience may be considered.
2+ years of experience in software development, data engineering, AI/ML, automation, analytics engineering, or related technical roles.
Hands-on skills with Python, SQL, APIs, data pipelines, and automation; experience with large language models, embeddings, RAG, vector search, chatbots, or document processing required.
English fluency required; limited travel (0-10%) expected.
Technically proficient in building AI data workflows and retrieving business-critical data in ERP/catalog environments, with hands-on experience in AI model evaluation and deployment.
Operates effectively in offshore-supported, collaborative settings coordinating with IT, AI platform leads, and business data owners under defined technical direction.
Experienced in detailed documentation, testing, troubleshooting AI pipelines, and applying responsible AI practices in production support roles.