{"schemaVersion":"jobsearcher.job.v1","id":"60b663ee90fe64027c6688c3","url":"https://jobsearcher.com/jobs/60b663ee90fe64027c6688c3","canonicalUrl":"https://jobsearcher.com/jobs/60b663ee90fe64027c6688c3","title":"Artificial Intelligence Engineer","description":"We are hiring a Senior AI Engineer with strong expertise in Generative AI, AI Agents, Intelligent Document Processing, and enterprise automation.Position: Senior AI Engineer – Generative AI & Intelligent AutomationLocation: Charlotte, NC – HybridExperience: 5+ YearsInterview: Final interview will be F2FImportant: Candidates should be able to attend the final interview in person.Key Skills & Experience5+ years of experience in AI, ML, Generative AI, or Intelligent AutomationStrong hands-on experience with Python, LangChain, LangGraph, Google ADK, and agent-based architectures3+ years of experience with Document AI / Intelligent Document Processing (IDP)Strong experience with OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, and fuzzy comparisonProven experience building LLM applications, AI Agents, RAG solutions, and workflow automationStrong knowledge of REST APIs, Microservices, JSON/XML schema mapping, and enterprise integrationsExperience implementing Human-in-the-Loop (HITL), exception handling, and validation frameworksKnowledge of workflow orchestration and event-driven architecturesExperience with prompt engineering, embeddings, vector databases, and semantic searchFamiliarity with MongoDB, Neo4j Knowledge Graphs, Redis, and vector databasesStrong understanding of AI governance, PII/data privacy, explainability, auditability, and Responsible AIExperience with MLOps, AI observability, model monitoring, and AI evaluation frameworksProficiency with Git, CI/CD, Agile, automated testing, and production deployment practicesIdeal CandidateWe are looking for an engineer who can go beyond building POCs and has experience taking AI/GenAI solutions into production. You should be comfortable working across AI agents, document intelligence, enterprise APIs, automation workflows, and responsible AI practices.Interested candidates can share their updated resume at:julie.k@arkhyatech.comPlease share this opportunity with your network or tag someone who would be a strong fit.","company":"Arkhya Tech","rawCompany":"arkhya tech","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-22T11:30:41.825Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Engineer","description":"We are hiring a Senior AI Engineer with strong expertise in Generative AI, AI Agents, Intelligent Document Processing, and enterprise automation.Position: Senior AI Engineer – Generative AI & Intelligent AutomationLocation: Charlotte, NC – HybridExperience: 5+ YearsInterview: Final interview will be F2FImportant: Candidates should be able to attend the final interview in person.Key Skills & Experience5+ years of experience in AI, ML, Generative AI, or Intelligent AutomationStrong hands-on experience with Python, LangChain, LangGraph, Google ADK, and agent-based architectures3+ years of experience with Document AI / Intelligent Document Processing (IDP)Strong experience with OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, and fuzzy comparisonProven experience building LLM applications, AI Agents, RAG solutions, and workflow automationStrong knowledge of REST APIs, Microservices, JSON/XML schema mapping, and enterprise integrationsExperience implementing Human-in-the-Loop (HITL), exception handling, and validation frameworksKnowledge of workflow orchestration and event-driven architecturesExperience with prompt engineering, embeddings, vector databases, and semantic searchFamiliarity with MongoDB, Neo4j Knowledge Graphs, Redis, and vector databasesStrong understanding of AI governance, PII/data privacy, explainability, auditability, and Responsible AIExperience with MLOps, AI observability, model monitoring, and AI evaluation frameworksProficiency with Git, CI/CD, Agile, automated testing, and production deployment practicesIdeal CandidateWe are looking for an engineer who can go beyond building POCs and has experience taking AI/GenAI solutions into production. You should be comfortable working across AI agents, document intelligence, enterprise APIs, automation workflows, and responsible AI practices.Interested candidates can share their updated resume at:julie.k@arkhyatech.comPlease share this opportunity with your network or tag someone who would be a strong fit.","datePosted":"2026-08-22T11:30:41.825Z","dateModified":"2026-08-22T11:30:41.825Z","hiringOrganization":{"@type":"Organization","name":"Arkhya Tech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"60b663ee90fe64027c6688c3"},"url":"https://jobsearcher.com/jobs/60b663ee90fe64027c6688c3"}}