{"schemaVersion":"jobsearcher.job.v1","id":"8c3e6156f562c8b0ceb452b1","url":"https://jobsearcher.com/jobs/8c3e6156f562c8b0ceb452b1","canonicalUrl":"https://jobsearcher.com/jobs/8c3e6156f562c8b0ceb452b1","title":"Senior Python AI/ML Engineer","description":"OverviewIn this role, you design, develop, and deploy enterprise AI/ML and Generative AI solutions. You will build end-to-end data pipelines, integrate LLMs and RAG approaches, and ship production-quality Python backends and APIs. The role spans data engineering, MLOps, and cloud deployment to deliver scalable AI capabilities. You will work closely with cross-functional teams to improve model performance, reliability, and security, shaping how the organization leverages AI at scale.ResponsibilitiesDesign, develop, test, and deploy ML/Generative AI solutions for enterprise use casesBuild end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and monitoringDevelop Retrieval-Augmented Generation (RAG) solutions and integrate LLMs into enterprise appsDevelop scalable backend services, microservices, and RESTful APIs using PythonCreate reusable frameworks, libraries, and integration componentsWrite production-quality, secure, maintainable code with modern engineering standardsImplement unit, integration, regression, and performance testingDesign data pipelines for structured and unstructured data processingIntegrate AI/ML models with internal and external systems via APIs and event-driven patternsCollaborate with data engineering teams to support data quality, governance, and securityBuild and maintain CI/CD pipelines for application, infra, and model deploymentsAutomate build, test, code-quality checks, security scanning, deployment, and releasesMLOps practices including model versioning, experiment tracking, monitoring, drift detection, and retrainingUtilize tools such as Jenkins, GitHub Actions, Azure DevOps, Bitbucket Pipelines, Docker, KubernetesDesign and deploy cloud-native solutions on AWS, Azure, or GCPKey requirements8-12 years of software engineering experience with substantial Python developmentProduction experience designing, deploying, and supporting AI/ML solutionsStrong understanding of ML algorithms, model lifecycle management, and MLOpsExperience developing RESTful APIs, microservices, and system integrationsHands-on experience with AWS, Azure, or GCPExperience creating and maintaining CI/CD pipelines and applying DevOps practicesExperience with Docker, Kubernetes, SQL, Git, automated testing, debugging, and production supportStrong analytical skillsEffective communication and stakeholder managementProblem-solving orientedPythonRESTful APIsMicroservices","company":"Kforce","rawCompany":"kforce","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:38:38.248Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Senior Python AI/ML Engineer","description":"OverviewIn this role, you design, develop, and deploy enterprise AI/ML and Generative AI solutions. You will build end-to-end data pipelines, integrate LLMs and RAG approaches, and ship production-quality Python backends and APIs. The role spans data engineering, MLOps, and cloud deployment to deliver scalable AI capabilities. You will work closely with cross-functional teams to improve model performance, reliability, and security, shaping how the organization leverages AI at scale.ResponsibilitiesDesign, develop, test, and deploy ML/Generative AI solutions for enterprise use casesBuild end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and monitoringDevelop Retrieval-Augmented Generation (RAG) solutions and integrate LLMs into enterprise appsDevelop scalable backend services, microservices, and RESTful APIs using PythonCreate reusable frameworks, libraries, and integration componentsWrite production-quality, secure, maintainable code with modern engineering standardsImplement unit, integration, regression, and performance testingDesign data pipelines for structured and unstructured data processingIntegrate AI/ML models with internal and external systems via APIs and event-driven patternsCollaborate with data engineering teams to support data quality, governance, and securityBuild and maintain CI/CD pipelines for application, infra, and model deploymentsAutomate build, test, code-quality checks, security scanning, deployment, and releasesMLOps practices including model versioning, experiment tracking, monitoring, drift detection, and retrainingUtilize tools such as Jenkins, GitHub Actions, Azure DevOps, Bitbucket Pipelines, Docker, KubernetesDesign and deploy cloud-native solutions on AWS, Azure, or GCPKey requirements8-12 years of software engineering experience with substantial Python developmentProduction experience designing, deploying, and supporting AI/ML solutionsStrong understanding of ML algorithms, model lifecycle management, and MLOpsExperience developing RESTful APIs, microservices, and system integrationsHands-on experience with AWS, Azure, or GCPExperience creating and maintaining CI/CD pipelines and applying DevOps practicesExperience with Docker, Kubernetes, SQL, Git, automated testing, debugging, and production supportStrong analytical skillsEffective communication and stakeholder managementProblem-solving orientedPythonRESTful APIsMicroservices","datePosted":"2026-10-26T13:38:38.248Z","dateModified":"2026-10-26T13:38:38.248Z","hiringOrganization":{"@type":"Organization","name":"Kforce","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8c3e6156f562c8b0ceb452b1"},"url":"https://jobsearcher.com/jobs/8c3e6156f562c8b0ceb452b1"}}