{"schemaVersion":"jobsearcher.job.v1","id":"48f2f6776f45d97847bddc0b","url":"https://jobsearcher.com/jobs/48f2f6776f45d97847bddc0b","canonicalUrl":"https://jobsearcher.com/jobs/48f2f6776f45d97847bddc0b","title":"GenAI DevOps Developer (Onsite)","description":"Position Overview:\n\nWe are seeking an AI DevOps Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industries. This role combines hands-on AI application development with DevOps and production support for AI solutions already deployed.\n\nW2 Contract with Roth Staffing (Ledgent Tech is a division of Roth). Applicants must be legally authorized to work in the United States. The company is not able to sponsor employment visas now or in the future.\n\nRate Range: $50.00 - $56.00\n\nDuration: 1 year and could be extended\n\nLocation: Onsite in Plano, TX\n\nKey Responsibilities\n\nDesign and develop custom AI agents, GenAI applications, and AI-powered automation based on client business requirements.\nDevelop, test, deploy, monitor, and continuously enhance AI solutions across development and production environments.\nWork with client stakeholders to translate business requirements into practical AI solutions.\nImplement and maintain RAG pipelines, prompt engineering, agentic workflows, tool/function calling, and LLM integrations.\nProvide ongoing DevOps and production support, including monitoring, troubleshooting, performance optimization, upgrades, and incident resolution.\nBuild and maintain CI/CD pipelines and automated deployment processes.\nEvaluate emerging AI models, frameworks, and technologies and recommend appropriate solutions for client projects.\n\nCore Skillsets\n\nStrong hands-on experience developing applications using Generative AI and LLMs\nExperience with AI agents / agentic AI, including multi-step workflows, tool/function calling, orchestration, and autonomous task execution.\nStrong knowledge of RAG architecture, including document processing, chunking, embeddings, vector search, retrieval strategies, and context management.\nStrong prompt engineering skills, including prompt optimization, structured outputs, few-shot prompting, and hallucination mitigation.\nExperience with LLM platforms such as OpenAI / Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or equivalent.\nUnderstanding of LLM evaluation, AI application testing, model selection, token/cost optimization, latency, and scalability.\nExperience integrating LLMs with enterprise applications, APIs, databases, and business processes.\nKnowledge of AI security considerations including prompt injection, data privacy, PII protection, access control, and responsible AI.\nStrong programming experience in Python; Java, JavaScript/TypeScript, or C# is a plus.\nExperience developing REST APIs, backend services, microservices, and enterprise integrations.\nExperience with Git, CI/CD, Docker, and cloud environments such as Azure, AWS, or GCP.\nExperience troubleshooting and supporting applications in production.\n\nQualifications\n\nBachelor's degree in Computer Science, Information Technology, Engineering, or related field\n9+ years of software development, AI, cloud, or DevOps experience, with hands-on GenAI/LLM development experience strongly preferred.\nExperience working in an IT consulting or client-facing environment is highly desirable.\nStrong analytical, troubleshooting, communication, documentation, and problem-solving skills.\nAbility to manage multiple client projects and explain complex AI concepts to both technical and non-technical stakeholders.\nBilingual preferred\n\nAll qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.","company":"Ledgent Technology","rawCompany":"ledgent technology","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-10T09:43:13.163Z","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":"GenAI DevOps Developer (Onsite)","description":"Position Overview:\n\nWe are seeking an AI DevOps Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industries. This role combines hands-on AI application development with DevOps and production support for AI solutions already deployed.\n\nW2 Contract with Roth Staffing (Ledgent Tech is a division of Roth). Applicants must be legally authorized to work in the United States. The company is not able to sponsor employment visas now or in the future.\n\nRate Range: $50.00 - $56.00\n\nDuration: 1 year and could be extended\n\nLocation: Onsite in Plano, TX\n\nKey Responsibilities\n\nDesign and develop custom AI agents, GenAI applications, and AI-powered automation based on client business requirements.\nDevelop, test, deploy, monitor, and continuously enhance AI solutions across development and production environments.\nWork with client stakeholders to translate business requirements into practical AI solutions.\nImplement and maintain RAG pipelines, prompt engineering, agentic workflows, tool/function calling, and LLM integrations.\nProvide ongoing DevOps and production support, including monitoring, troubleshooting, performance optimization, upgrades, and incident resolution.\nBuild and maintain CI/CD pipelines and automated deployment processes.\nEvaluate emerging AI models, frameworks, and technologies and recommend appropriate solutions for client projects.\n\nCore Skillsets\n\nStrong hands-on experience developing applications using Generative AI and LLMs\nExperience with AI agents / agentic AI, including multi-step workflows, tool/function calling, orchestration, and autonomous task execution.\nStrong knowledge of RAG architecture, including document processing, chunking, embeddings, vector search, retrieval strategies, and context management.\nStrong prompt engineering skills, including prompt optimization, structured outputs, few-shot prompting, and hallucination mitigation.\nExperience with LLM platforms such as OpenAI / Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or equivalent.\nUnderstanding of LLM evaluation, AI application testing, model selection, token/cost optimization, latency, and scalability.\nExperience integrating LLMs with enterprise applications, APIs, databases, and business processes.\nKnowledge of AI security considerations including prompt injection, data privacy, PII protection, access control, and responsible AI.\nStrong programming experience in Python; Java, JavaScript/TypeScript, or C# is a plus.\nExperience developing REST APIs, backend services, microservices, and enterprise integrations.\nExperience with Git, CI/CD, Docker, and cloud environments such as Azure, AWS, or GCP.\nExperience troubleshooting and supporting applications in production.\n\nQualifications\n\nBachelor's degree in Computer Science, Information Technology, Engineering, or related field\n9+ years of software development, AI, cloud, or DevOps experience, with hands-on GenAI/LLM development experience strongly preferred.\nExperience working in an IT consulting or client-facing environment is highly desirable.\nStrong analytical, troubleshooting, communication, documentation, and problem-solving skills.\nAbility to manage multiple client projects and explain complex AI concepts to both technical and non-technical stakeholders.\nBilingual preferred\n\nAll qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.","datePosted":"2026-09-10T09:43:13.163Z","dateModified":"2026-09-10T09:43:13.163Z","hiringOrganization":{"@type":"Organization","name":"Ledgent Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"48f2f6776f45d97847bddc0b"},"url":"https://jobsearcher.com/jobs/48f2f6776f45d97847bddc0b"}}