{"schemaVersion":"jobsearcher.job.v1","id":"ed121e57b2a97368b4eb2cf0","url":"https://jobsearcher.com/jobs/ed121e57b2a97368b4eb2cf0","canonicalUrl":"https://jobsearcher.com/jobs/ed121e57b2a97368b4eb2cf0","title":"Machine Learning Engineer – Generative AI","description":"Job DescriptionWe are seeking an ML Engineer to design, develop, integrate, and operationalize generative-AI solutions using Amazon Bedrock across its patient-access, engagement, and analytics platforms. The engineer will collaborate with data engineers, software developers, product teams, and SRE/RunOps teams to deploy reliable, scalable, and secure AI capabilities into production, while applying strong software-engineering, AWS, API-integration, and MLOps practices. Responsibilities:Design, develop, integrate, and operationalize generative-AI solutions using Amazon Bedrock.Evaluate and integrate foundation models, and develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions.Build AI agents and model-enabled workflows across patient-access, engagement, and analytics platforms.Integrate Amazon Bedrock with enterprise data sources and APIs.Implement model evaluation, security, guardrails, observability, and cost optimization.Collaborate with data engineers, software developers, product teams, and SRE/RunOps teams to deploy reliable, scalable, and secure AI capabilities into production.Key RequirementsApplied expertise in software engineering, AWS, API integration, and MLOps practices.Experience developing prompt-engineering, RAG solutions, and AI agentsDemonstrated ability to integrate generative-AI models with enterprise data sources and APIs.Hands-on capability to implement model evaluation, security, guardrails, observability, and cost optimization","company":"Tekshapers","rawCompany":"tekshapers","city":"Westminster","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-10-10T08:21:46.137Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.07","title":"Blockchain Engineers","slug":"blockchain-engineers"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer – Generative AI","description":"Job DescriptionWe are seeking an ML Engineer to design, develop, integrate, and operationalize generative-AI solutions using Amazon Bedrock across its patient-access, engagement, and analytics platforms. The engineer will collaborate with data engineers, software developers, product teams, and SRE/RunOps teams to deploy reliable, scalable, and secure AI capabilities into production, while applying strong software-engineering, AWS, API-integration, and MLOps practices. Responsibilities:Design, develop, integrate, and operationalize generative-AI solutions using Amazon Bedrock.Evaluate and integrate foundation models, and develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions.Build AI agents and model-enabled workflows across patient-access, engagement, and analytics platforms.Integrate Amazon Bedrock with enterprise data sources and APIs.Implement model evaluation, security, guardrails, observability, and cost optimization.Collaborate with data engineers, software developers, product teams, and SRE/RunOps teams to deploy reliable, scalable, and secure AI capabilities into production.Key RequirementsApplied expertise in software engineering, AWS, API integration, and MLOps practices.Experience developing prompt-engineering, RAG solutions, and AI agentsDemonstrated ability to integrate generative-AI models with enterprise data sources and APIs.Hands-on capability to implement model evaluation, security, guardrails, observability, and cost optimization","datePosted":"2026-10-10T08:21:46.137Z","dateModified":"2026-10-10T08:21:46.137Z","hiringOrganization":{"@type":"Organization","name":"Tekshapers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Westminster","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ed121e57b2a97368b4eb2cf0"},"url":"https://jobsearcher.com/jobs/ed121e57b2a97368b4eb2cf0"}}