{"schemaVersion":"jobsearcher.job.v1","id":"1daf941f2c14b8febdc14931","url":"https://jobsearcher.com/jobs/1daf941f2c14b8febdc14931","canonicalUrl":"https://jobsearcher.com/jobs/1daf941f2c14b8febdc14931","title":"Hiring! AI Data Engineer (Python, AI/ML) - Minimum 15 Years' Experience is Mandatory","description":"Location: Tennessee, remote-OKRole: AI Data EngineerMandatory Skills- Python, AI/MLRetail domain experience is highly preferable.JdWe are seeking an experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.Build and optimize data lakes, data warehouses, and AI-ready data platforms.Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.Implement data governance, security, lineage, and quality controls.Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.Monitor, troubleshoot, and optimize data pipelines and platform performance.Automate deployment, testing, and monitoring of data engineering workflows.Create technical documentation and data dictionaries for enterprise data assets.Required SkillsTechnical SkillsPython, SQL, PySparkETL/ELT developmentData Modeling (Star Schema, Snowflake Schema)Apache Spark, DatabricksAirflow, Dataflow, Informatica, ADF, Synapse, or equivalent toolsRelational & NoSQL DatabasesData Warehousing conceptsREST APIs and MicroservicesGit, CI/CD, DevOps practicesAI & GenAI SkillsMachine Learning fundamentalsData preparation for AI modelsVector Databases (Pinecone, ChromaDB, FAISS)LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.)RAG ArchitectureEmbeddings and Semantic SearchPrompt Engineering fundamentals","company":"Propelsys Technologies","rawCompany":"propelsys technologies","city":"Oglesby","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-18T14:54:44.721Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Hiring! AI Data Engineer (Python, AI/ML) - Minimum 15 Years' Experience is Mandatory","description":"Location: Tennessee, remote-OKRole: AI Data EngineerMandatory Skills- Python, AI/MLRetail domain experience is highly preferable.JdWe are seeking an experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.Build and optimize data lakes, data warehouses, and AI-ready data platforms.Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.Implement data governance, security, lineage, and quality controls.Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.Monitor, troubleshoot, and optimize data pipelines and platform performance.Automate deployment, testing, and monitoring of data engineering workflows.Create technical documentation and data dictionaries for enterprise data assets.Required SkillsTechnical SkillsPython, SQL, PySparkETL/ELT developmentData Modeling (Star Schema, Snowflake Schema)Apache Spark, DatabricksAirflow, Dataflow, Informatica, ADF, Synapse, or equivalent toolsRelational & NoSQL DatabasesData Warehousing conceptsREST APIs and MicroservicesGit, CI/CD, DevOps practicesAI & GenAI SkillsMachine Learning fundamentalsData preparation for AI modelsVector Databases (Pinecone, ChromaDB, FAISS)LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.)RAG ArchitectureEmbeddings and Semantic SearchPrompt Engineering fundamentals","datePosted":"2026-07-18T14:54:44.721Z","dateModified":"2026-07-18T14:54:44.721Z","hiringOrganization":{"@type":"Organization","name":"Propelsys Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oglesby","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1daf941f2c14b8febdc14931"},"url":"https://jobsearcher.com/jobs/1daf941f2c14b8febdc14931"}}