{"schemaVersion":"jobsearcher.job.v1","id":"a5bee910ba0aa96cc2ec849c","url":"https://jobsearcher.com/jobs/a5bee910ba0aa96cc2ec849c","canonicalUrl":"https://jobsearcher.com/jobs/a5bee910ba0aa96cc2ec849c","title":"Generative AI Developer","description":"Job Title: Generative AI Developer\nLocation: Lafayette, LA, Knoxville, TN, Columbia, SC or Birmingham, AL\nType: Direct Hire\nCompensation: $108,600.00\nWork Model: Onsite – onsite\nHours: 40.0\nSecurity Clearance: (not specified)\n\nOverview\nLeave placeholder text here for recruiter to input\n\nResponsibilities\n\nDevelop and enhance Generative AI applications and services using Python.\nBuild application functionality that incorporates Large Language Models (LLMs) and Generative AI capabilities.\nIntegrate AI capabilities with existing enterprise applications, APIs, databases, and cloud services.\nDevelop and support AI solutions within an AWS based environment.\nWork with prompt engineering, LLM APIs, and related Generative AI development techniques to address business use cases.\nDevelop APIs and back end services that enable applications to interact with AI models and supporting data sources.\nParticipate throughout the SDLC, including requirements analysis, development, unit testing, troubleshooting, defect resolution, and implementation support.\nWrite clean, maintainable, testable Python code suitable for enterprise applications.\nPerform unit testing and troubleshoot issues identified during development and testing cycles.\nCollaborate with developers, QA teams, business analysts, and other technical stakeholders to deliver AI enabled application capabilities.\nFollow established enterprise development, security, testing, and deployment standards.\nStay current with evolving Generative AI technologies and apply relevant capabilities to practical business problems.\nRequirements\n5+ years of hands on Python development experience, including development of enterprise applications or services.\nHands on experience developing Generative AI applications or AI enabled software solutions.\nStrong understanding of Large Language Models (LLMs) and how they are incorporated into applications.\nExperience working with LLM APIs, prompt engineering, and Generative AI development patterns.\nExperience developing and deploying applications in AWS cloud environments.\nStrong experience developing REST APIs, back end services, and application integrations using Python.\nExperience integrating applications with databases, APIs, and enterprise data sources.\nUnderstanding of techniques used to provide enterprise data and context to LLM powered applications; experience with Retrieval Augmented Generation (RAG) is highly desirable.\nFamiliarity with vector search, embeddings, or vector databases is a plus.\nExperience with AWS AI/ML and application services is preferred; exposure to Amazon Bedrock is particularly valuable.\nStrong understanding of the Software Development Life Cycle (SDLC) and modern software development practices.\nExperience with unit testing, debugging, troubleshooting, and resolving application defects.\nFamiliarity with Git, CI/CD pipelines, and automated software delivery practices.\nUnderstanding of secure development practices, particularly when working with enterprise data and AI applications.\nStrong analytical and problem solving skills with the ability to turn business use cases into working technical solutions.\nExperience working in financial services, mortgage, bank environments.\n\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\n\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n\n#M-\n\n#LI-\n\nRef: #404-IT Pittsburgh","company":"Systemone","rawCompany":"systemone","city":"Birmingham","state":"AL","isRemote":false,"isActive":false,"createdAt":"2026-09-12T09:49:09.170Z","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":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"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":"Generative AI Developer","description":"Job Title: Generative AI Developer\nLocation: Lafayette, LA, Knoxville, TN, Columbia, SC or Birmingham, AL\nType: Direct Hire\nCompensation: $108,600.00\nWork Model: Onsite – onsite\nHours: 40.0\nSecurity Clearance: (not specified)\n\nOverview\nLeave placeholder text here for recruiter to input\n\nResponsibilities\n\nDevelop and enhance Generative AI applications and services using Python.\nBuild application functionality that incorporates Large Language Models (LLMs) and Generative AI capabilities.\nIntegrate AI capabilities with existing enterprise applications, APIs, databases, and cloud services.\nDevelop and support AI solutions within an AWS based environment.\nWork with prompt engineering, LLM APIs, and related Generative AI development techniques to address business use cases.\nDevelop APIs and back end services that enable applications to interact with AI models and supporting data sources.\nParticipate throughout the SDLC, including requirements analysis, development, unit testing, troubleshooting, defect resolution, and implementation support.\nWrite clean, maintainable, testable Python code suitable for enterprise applications.\nPerform unit testing and troubleshoot issues identified during development and testing cycles.\nCollaborate with developers, QA teams, business analysts, and other technical stakeholders to deliver AI enabled application capabilities.\nFollow established enterprise development, security, testing, and deployment standards.\nStay current with evolving Generative AI technologies and apply relevant capabilities to practical business problems.\nRequirements\n5+ years of hands on Python development experience, including development of enterprise applications or services.\nHands on experience developing Generative AI applications or AI enabled software solutions.\nStrong understanding of Large Language Models (LLMs) and how they are incorporated into applications.\nExperience working with LLM APIs, prompt engineering, and Generative AI development patterns.\nExperience developing and deploying applications in AWS cloud environments.\nStrong experience developing REST APIs, back end services, and application integrations using Python.\nExperience integrating applications with databases, APIs, and enterprise data sources.\nUnderstanding of techniques used to provide enterprise data and context to LLM powered applications; experience with Retrieval Augmented Generation (RAG) is highly desirable.\nFamiliarity with vector search, embeddings, or vector databases is a plus.\nExperience with AWS AI/ML and application services is preferred; exposure to Amazon Bedrock is particularly valuable.\nStrong understanding of the Software Development Life Cycle (SDLC) and modern software development practices.\nExperience with unit testing, debugging, troubleshooting, and resolving application defects.\nFamiliarity with Git, CI/CD pipelines, and automated software delivery practices.\nUnderstanding of secure development practices, particularly when working with enterprise data and AI applications.\nStrong analytical and problem solving skills with the ability to turn business use cases into working technical solutions.\nExperience working in financial services, mortgage, bank environments.\n\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\n\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n\n#M-\n\n#LI-\n\nRef: #404-IT Pittsburgh","datePosted":"2026-09-12T09:49:09.170Z","dateModified":"2026-09-12T09:49:09.170Z","hiringOrganization":{"@type":"Organization","name":"Systemone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Birmingham","addressRegion":"AL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a5bee910ba0aa96cc2ec849c"},"url":"https://jobsearcher.com/jobs/a5bee910ba0aa96cc2ec849c"}}