{"schemaVersion":"jobsearcher.job.v1","id":"c792bd902c109c2115e7c576","url":"https://jobsearcher.com/jobs/c792bd902c109c2115e7c576","canonicalUrl":"https://jobsearcher.com/jobs/c792bd902c109c2115e7c576","title":"AI Developer","description":"About The RoleNew AI DeveloperHealthcare clientPrefer Hybrid near Cleveland, OH, but will consider remoteMust be willing to convert perm after 6 month – client will Sponsor – Vendor must be willing to let candidate go without a feePay Rate in the $85 - $90/hr rangeMust have’sStrong RAGStrong ELT/ETLDocker, Kubernetes, TerraformData PipelinesTitle: AI Developer# Open: 1Company: Option Care HealthLocation: This role can be hybrid in OH or Remote – manager prefers Hybrid if possibleRemote / Hybrid Schedule: 3 day onsite and 2 remote (they can choose which) OR Fully remoteHours | shift | On Call | Timezone: 8-5 EST hoursTeam: Database and Business AnalyticsWhy Open: Additional need on the teamExclusive: yesDuration: 6+ months with possibility to extend or convert (they will sponsor but must be able to convert after 6 months)Start: ASAPPosition SummaryWe are seeking an AI Developer to design, build, and deploy modern AI-enabled solutions that leverage enterprise data across cloud and hybrid environments. This role will focus on developing scalable AI applications, including retrieval-augmented generation (RAG), intelligent data pipelines, vector-based search, and cloud-native ML/AI systems.The ideal candidate brings a blend of AI engineering, data engineering, and platform expertise, with experience building production-grade solutions using modern cloud, integration, and governance tools.Key ResponsibilitiesDesign and develop AI-powered applications using modern ML/AI engineering practices, including RAG architectures, vector search, and feature management.Build and maintain scalable data pipelines to support AI and analytics workloads, including ETL/ELT, streaming, and lakehouse patterns.Develop and integrate solutions across cloud, hybrid, and legacy enterprise systems, including ERP, mainframe, and CDC-based ecosystems.Implement and manage vector databases, orchestration frameworks, and feature stores to support production AI use cases.Partner with platform and infrastructure teams to deploy solutions using containerization, Kubernetes, and infrastructure as code.Ensure strong data governance, including lineage, cataloging, and access controls for enterprise AI data assets.Optimize architecture for performance, scalability, and cloud cost efficiency, especially for variable AI workloads.Collaborate with business, engineering, and architecture stakeholders to translate requirements into practical AI solutions.Required Qualifications3+ years of experience in software engineering, data engineering, or AI/ML developmentHands-on experience building AI or data-driven applications in enterprise environmentsStrong proficiency in one or more programming languages such as Python, SQL, or JavaKey Responsibilities & SkillsRetrieval-Augmented Generation (RAG) DevelopmentELT / ETL Data EngineeringData Pipelines Design & ImplementationVector Search & RetrievalAI/ML Model DeploymentCloud-Native AI ArchitectureEnterprise Data GovernanceFeature Store ManagementIntegration with ERP / Mainframe SystemsCDC (Change Data Capture) IntegrationPerformance & Scalability OptimizationCloud Cost EfficiencyTechnical SkillsPythonSQLJavaDocker / Kubernetes / TerraformCloud Platforms (AWS / Azure / GCP)Infrastructure as Code (IaC)Vector Database (e.g., Pinecone / Milvus)CI/CDStreaming / Real-time Data ProcessingLakehouse ArchitectureData Cataloging ToolsEducationBachelor's Degree in Computer Science, Software Engineering, Data Science, Electrical Engineering, Computer Engineering. Preferred: Master's in Computer Science, Master's in Data Science, Master's in Artificial Intelligence, PhD in Machine Learning.Industry ExperienceHealthcareHealth TechnologyEnterprise AICloud ServicesData Engineering#CareerOpportunities #JobVacancy #WorkWithUs","company":"O2 Technologiesinc","rawCompany":"o2 technologiesinc","city":"Dublin","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-01T10:14:45.070Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Developer","description":"About The RoleNew AI DeveloperHealthcare clientPrefer Hybrid near Cleveland, OH, but will consider remoteMust be willing to convert perm after 6 month – client will Sponsor – Vendor must be willing to let candidate go without a feePay Rate in the $85 - $90/hr rangeMust have’sStrong RAGStrong ELT/ETLDocker, Kubernetes, TerraformData PipelinesTitle: AI Developer# Open: 1Company: Option Care HealthLocation: This role can be hybrid in OH or Remote – manager prefers Hybrid if possibleRemote / Hybrid Schedule: 3 day onsite and 2 remote (they can choose which) OR Fully remoteHours | shift | On Call | Timezone: 8-5 EST hoursTeam: Database and Business AnalyticsWhy Open: Additional need on the teamExclusive: yesDuration: 6+ months with possibility to extend or convert (they will sponsor but must be able to convert after 6 months)Start: ASAPPosition SummaryWe are seeking an AI Developer to design, build, and deploy modern AI-enabled solutions that leverage enterprise data across cloud and hybrid environments. This role will focus on developing scalable AI applications, including retrieval-augmented generation (RAG), intelligent data pipelines, vector-based search, and cloud-native ML/AI systems.The ideal candidate brings a blend of AI engineering, data engineering, and platform expertise, with experience building production-grade solutions using modern cloud, integration, and governance tools.Key ResponsibilitiesDesign and develop AI-powered applications using modern ML/AI engineering practices, including RAG architectures, vector search, and feature management.Build and maintain scalable data pipelines to support AI and analytics workloads, including ETL/ELT, streaming, and lakehouse patterns.Develop and integrate solutions across cloud, hybrid, and legacy enterprise systems, including ERP, mainframe, and CDC-based ecosystems.Implement and manage vector databases, orchestration frameworks, and feature stores to support production AI use cases.Partner with platform and infrastructure teams to deploy solutions using containerization, Kubernetes, and infrastructure as code.Ensure strong data governance, including lineage, cataloging, and access controls for enterprise AI data assets.Optimize architecture for performance, scalability, and cloud cost efficiency, especially for variable AI workloads.Collaborate with business, engineering, and architecture stakeholders to translate requirements into practical AI solutions.Required Qualifications3+ years of experience in software engineering, data engineering, or AI/ML developmentHands-on experience building AI or data-driven applications in enterprise environmentsStrong proficiency in one or more programming languages such as Python, SQL, or JavaKey Responsibilities & SkillsRetrieval-Augmented Generation (RAG) DevelopmentELT / ETL Data EngineeringData Pipelines Design & ImplementationVector Search & RetrievalAI/ML Model DeploymentCloud-Native AI ArchitectureEnterprise Data GovernanceFeature Store ManagementIntegration with ERP / Mainframe SystemsCDC (Change Data Capture) IntegrationPerformance & Scalability OptimizationCloud Cost EfficiencyTechnical SkillsPythonSQLJavaDocker / Kubernetes / TerraformCloud Platforms (AWS / Azure / GCP)Infrastructure as Code (IaC)Vector Database (e.g., Pinecone / Milvus)CI/CDStreaming / Real-time Data ProcessingLakehouse ArchitectureData Cataloging ToolsEducationBachelor's Degree in Computer Science, Software Engineering, Data Science, Electrical Engineering, Computer Engineering. Preferred: Master's in Computer Science, Master's in Data Science, Master's in Artificial Intelligence, PhD in Machine Learning.Industry ExperienceHealthcareHealth TechnologyEnterprise AICloud ServicesData Engineering#CareerOpportunities #JobVacancy #WorkWithUs","datePosted":"2026-07-01T10:14:45.070Z","dateModified":"2026-07-01T10:14:45.070Z","hiringOrganization":{"@type":"Organization","name":"O2 Technologiesinc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c792bd902c109c2115e7c576"},"url":"https://jobsearcher.com/jobs/c792bd902c109c2115e7c576"}}