AI Engineer – Agentic Systems & RAG

HomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs-PortalContact UsJob DescriptionJob OverviewJob ID:J53021Job Title:AI Engineer – Agentic Systems & RAGLocation:Charlotte, NCDuration:20 Months + ExtensionHourly Rate:Depending on Experience (DOE)Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EADClient:To Be Discussed LaterEmployment Type:W-2, 1099, C2CView All JobsSimilar JobsEmbedded Software Engineer - Alpharetta, GAEmbedded Software Engineer - sanfransico, CAQuality Assurance Engineer - Cincinnati, OHAI engineer - chicago, ILAI engineer - dallas, TXJob Description:We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor AI. The ideal candidate will have a strong developer mindset and expertise in integrating APIs and building intelligent systems that can reason, act, and interact across tools and data sources.Key Responsibilities:Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usageImplement and fine-tune RAG pipelines for contextual knowledge integrationDevelop, integrate, and manage agentic workflows across APIs, vector stores, and third-party toolsLeverage Cursor AI and similar platforms to prototype and deploy agent-based applicationsCollaborate with product teams to implement AI-driven features with seamless developer experienceBuild scalable APIs for model access, integration, and service orchestrationStay updated with the latest in LLMs, agent orchestration frameworks, and AI toolingRequired Skills & Qualifications:Strong programming skills in Python or equivalent (Go/Node.js is a plus)Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similarHands-on with Cursor AI for development, debugging, and agent orchestrationExperience building and consuming RESTful APIsProficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuningExperience with prompt engineering, tool calling, and multi-agent collaboration setupsSolid understanding of LLMs, their fine-tuning strategies, and evaluation frameworksApply NowEqual Opportunity EmployerMACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contractHome|About|Adaptive AI|Industries|Consulting |Contact Us© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.