{"schemaVersion":"jobsearcher.job.v1","id":"6ad9b3f9380022fa17bc718a","url":"https://jobsearcher.com/jobs/6ad9b3f9380022fa17bc718a","canonicalUrl":"https://jobsearcher.com/jobs/6ad9b3f9380022fa17bc718a","title":"AI Engineer - remote","description":"AI EngineerLocation: Fully Remote (United States – PST Hours Preferred)Employment Type: 6-Month Contract (View to Extend)Our client is seeking an experienced AI Engineer to design, build, and deploy enterprise AI solutions that solve complex business challenges. This is a client-facing opportunity where you'll work alongside business stakeholders to develop scalable, production-ready AI platforms that deliver measurable business value.Key ResponsibilitiesDesign, build, and deploy production-grade Agentic AI platforms and multi-agent systems.Develop and optimise RAG pipelines, integrate Large Language Models (LLMs), and deliver enterprise AI solutions.Engineer scalable cloud-based AI applications, APIs, and microservices following MLOps best practices.Collaborate directly with clients through discovery workshops, solution design sessions, and technical presentations.Requirements3+ years of hands-on AI/ML engineering experience delivering production AI solutions.Experience building Agentic AI systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.Strong experience with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, Python, SQL, REST APIs, and microservices.Excellent communication skills with the ability to engage business stakeholders and translate complex AI concepts into practical solutions.Nice to HaveExperience with Azure AI Studio, Azure OpenAI Service, Anthropic Claude, AWS, and Google Cloud Platform (GCP).Experience working with vector databases including Pinecone, Weaviate, or ChromaDB.Experience applying MLOps best practices for AI deployment, monitoring, and scalability.Previous experience delivering AI solutions within a client-facing consulting or professional services environment.Please apply with an up-to-date resume.","company":"Focus Cloud Group","rawCompany":"focus cloud group","isRemote":true,"isActive":false,"createdAt":"2026-07-27T11:10:19.578Z","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":"17-2199.00","title":"Engineers, All Other","slug":"engineers-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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer - remote","description":"AI EngineerLocation: Fully Remote (United States – PST Hours Preferred)Employment Type: 6-Month Contract (View to Extend)Our client is seeking an experienced AI Engineer to design, build, and deploy enterprise AI solutions that solve complex business challenges. This is a client-facing opportunity where you'll work alongside business stakeholders to develop scalable, production-ready AI platforms that deliver measurable business value.Key ResponsibilitiesDesign, build, and deploy production-grade Agentic AI platforms and multi-agent systems.Develop and optimise RAG pipelines, integrate Large Language Models (LLMs), and deliver enterprise AI solutions.Engineer scalable cloud-based AI applications, APIs, and microservices following MLOps best practices.Collaborate directly with clients through discovery workshops, solution design sessions, and technical presentations.Requirements3+ years of hands-on AI/ML engineering experience delivering production AI solutions.Experience building Agentic AI systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.Strong experience with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, Python, SQL, REST APIs, and microservices.Excellent communication skills with the ability to engage business stakeholders and translate complex AI concepts into practical solutions.Nice to HaveExperience with Azure AI Studio, Azure OpenAI Service, Anthropic Claude, AWS, and Google Cloud Platform (GCP).Experience working with vector databases including Pinecone, Weaviate, or ChromaDB.Experience applying MLOps best practices for AI deployment, monitoring, and scalability.Previous experience delivering AI solutions within a client-facing consulting or professional services environment.Please apply with an up-to-date resume.","datePosted":"2026-07-27T11:10:19.578Z","dateModified":"2026-07-27T11:10:19.578Z","hiringOrganization":{"@type":"Organization","name":"Focus Cloud Group","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6ad9b3f9380022fa17bc718a"},"url":"https://jobsearcher.com/jobs/6ad9b3f9380022fa17bc718a"}}