{"schemaVersion":"jobsearcher.job.v1","id":"fa83851cf4e76757e92c126c","url":"https://jobsearcher.com/jobs/fa83851cf4e76757e92c126c","canonicalUrl":"https://jobsearcher.com/jobs/fa83851cf4e76757e92c126c","title":"Agentic AI Engineer - Software Engineer","description":"LocationThis is a hybrid role across locations - Atlanta, Nashville, Chicago.\r\nAbout the job you're consideringThe Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.\r\nYour roleDevelop and integrate Python-based services, APIs and AI-enabled applications.\r\nBuild agent workflows using prompts, tools, APIs, enterprise knowledge and structured data.\r\nDeploy and operate applications on Google Cloud using secure, observable and repeatable engineering practices.\r\nConfigure and extend conversational and customer-experience use cases, including virtual agents, agent assistance and workflow automation.\r\nTest, troubleshoot and optimize agent behavior, integrations, latency, reliability and user experience.\r\nCreate technical documentation, deployment runbooks and clear demonstrations for delivery teams and clients.\r\nApply responsible AI, security, access-control and data-handling practices throughout the solution lifecycle.\r\nYour skills and experience4 plus years experience working on Python: scripting, API integration, and application-level development\r\nCloud Platforms: hands-on experience with at least one major cloud provider (GCP preferred; Strong Azure or AWS also acceptable) compute, networking, IAM, and basic service deployment\r\nExperience in deployment with containerization and orchestration (Docker, Kubernetes)\r\nUnderstanding/Exp of CI/CD concepts and tools (GitLab CI/CD or equivalent)\r\nUnderstanding working exp of REST APIs and JSON-based data exchange\r\nPrior exposure to GenAI concepts (LLMs, prompt engineering, embeddings)\r\nFamiliarity with Google Cloud console navigation and Vertex AI / Agent Platform tools Preferred\r\n#LI-RM1 - Hybrid#J-18808-Ljbffr","company":"Capgemini","rawCompany":"capgemini","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-04T01:46:16.159Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"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":"Agentic AI Engineer - Software Engineer","description":"LocationThis is a hybrid role across locations - Atlanta, Nashville, Chicago.\r\nAbout the job you're consideringThe Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.\r\nYour roleDevelop and integrate Python-based services, APIs and AI-enabled applications.\r\nBuild agent workflows using prompts, tools, APIs, enterprise knowledge and structured data.\r\nDeploy and operate applications on Google Cloud using secure, observable and repeatable engineering practices.\r\nConfigure and extend conversational and customer-experience use cases, including virtual agents, agent assistance and workflow automation.\r\nTest, troubleshoot and optimize agent behavior, integrations, latency, reliability and user experience.\r\nCreate technical documentation, deployment runbooks and clear demonstrations for delivery teams and clients.\r\nApply responsible AI, security, access-control and data-handling practices throughout the solution lifecycle.\r\nYour skills and experience4 plus years experience working on Python: scripting, API integration, and application-level development\r\nCloud Platforms: hands-on experience with at least one major cloud provider (GCP preferred; Strong Azure or AWS also acceptable) compute, networking, IAM, and basic service deployment\r\nExperience in deployment with containerization and orchestration (Docker, Kubernetes)\r\nUnderstanding/Exp of CI/CD concepts and tools (GitLab CI/CD or equivalent)\r\nUnderstanding working exp of REST APIs and JSON-based data exchange\r\nPrior exposure to GenAI concepts (LLMs, prompt engineering, embeddings)\r\nFamiliarity with Google Cloud console navigation and Vertex AI / Agent Platform tools Preferred\r\n#LI-RM1 - Hybrid#J-18808-Ljbffr","datePosted":"2026-10-04T01:46:16.159Z","dateModified":"2026-10-04T01:46:16.159Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fa83851cf4e76757e92c126c"},"url":"https://jobsearcher.com/jobs/fa83851cf4e76757e92c126c"}}