{"schemaVersion":"jobsearcher.job.v1","id":"1b4f9f8a66152b1b224ccf7b","url":"https://jobsearcher.com/jobs/1b4f9f8a66152b1b224ccf7b","canonicalUrl":"https://jobsearcher.com/jobs/1b4f9f8a66152b1b224ccf7b","title":"LLMOps Engineer","description":"Title: Senior LLMOps Engineer Engagement Type: FTE Grade: 7 Location: REMOTE Note: This Position Is Not Eligible For Immigration Sponsorship At This Time. Primary Responsibilities: • Design, develop, and deploy AI solutions leveraging cutting-edge tools, frameworks, and best practices. • Fine-tune and deploy Large Language Models (LLMs) such as OpenAI and Azure-based services to deliver scalable AI applications. • Implement and optimize Retrieval-Augmented Generation (RAG) architectures, leveraging vector databases for efficient data retrieval. • Write clean, maintainable Python code following software development best practices, including GIT workflows, code reviews, and CI/CD pipelines. • Collaborate with cross-functional teams to integrate AI solutions with existing data engineering pipelines and cloud infrastructure. • Build and manage containerized AI applications using Docker and Kubernetes for scalability and reproducibility. • Leverage Azure services for deploying, monitoring, and scaling AI applications in the cloud. Required Qualifications: • Strong proficiency in Python programming with a deep understanding of the software development lifecycle. • Expertise in working with LLMs, including fine-tuning, prompt engineering, and deployment. • Hands-on experience with RAG architectures and vector databases for knowledge retrieval. • Familiarity with SQL Server and/or Snowflake for data storage and retrieval. • Proficiency in Docker for containerization and Kubernetes for orchestration of containerized applications. • Solid understanding of Azure services for deploying and managing AI applications. Preferred Qualifications: • Experience with advanced optimization techniques for LLMs in production. • Exposure to managing and deploying large-scale AI systems in cloud environments. • Knowledge of best practices in logging, monitoring, and debugging AI workflows. • Ability to collaborate effectively with data engineering teams for seamless integration of AI pipelines.","company":"Techwish","rawCompany":"techwish","city":"Vienna","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T13:28:49.131Z","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":"LLMOps Engineer","description":"Title: Senior LLMOps Engineer Engagement Type: FTE Grade: 7 Location: REMOTE Note: This Position Is Not Eligible For Immigration Sponsorship At This Time. Primary Responsibilities: • Design, develop, and deploy AI solutions leveraging cutting-edge tools, frameworks, and best practices. • Fine-tune and deploy Large Language Models (LLMs) such as OpenAI and Azure-based services to deliver scalable AI applications. • Implement and optimize Retrieval-Augmented Generation (RAG) architectures, leveraging vector databases for efficient data retrieval. • Write clean, maintainable Python code following software development best practices, including GIT workflows, code reviews, and CI/CD pipelines. • Collaborate with cross-functional teams to integrate AI solutions with existing data engineering pipelines and cloud infrastructure. • Build and manage containerized AI applications using Docker and Kubernetes for scalability and reproducibility. • Leverage Azure services for deploying, monitoring, and scaling AI applications in the cloud. Required Qualifications: • Strong proficiency in Python programming with a deep understanding of the software development lifecycle. • Expertise in working with LLMs, including fine-tuning, prompt engineering, and deployment. • Hands-on experience with RAG architectures and vector databases for knowledge retrieval. • Familiarity with SQL Server and/or Snowflake for data storage and retrieval. • Proficiency in Docker for containerization and Kubernetes for orchestration of containerized applications. • Solid understanding of Azure services for deploying and managing AI applications. Preferred Qualifications: • Experience with advanced optimization techniques for LLMs in production. • Exposure to managing and deploying large-scale AI systems in cloud environments. • Knowledge of best practices in logging, monitoring, and debugging AI workflows. • Ability to collaborate effectively with data engineering teams for seamless integration of AI pipelines.","datePosted":"2026-04-09T13:28:49.131Z","dateModified":"2026-04-09T13:28:49.131Z","hiringOrganization":{"@type":"Organization","name":"Techwish","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vienna","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1b4f9f8a66152b1b224ccf7b"},"url":"https://jobsearcher.com/jobs/1b4f9f8a66152b1b224ccf7b"}}