AI Engineer – Agentic Systems & RAG

• Home • About • Adaptive AI • Industries • Consulting • Jobs Portal • Contact Us • Home • About • Adaptive AI • Industries • Consulting • Jobs Portal • Contact Us Job Description Job Overview • Job ID: J53021 • Job Title: AI Engineer – Agentic Systems & RAG • Location: Charlotte, NC • Duration: 20 Months + Extension • Domain Exposure: Manufacturing,Banking & Finance,Utilities/ Energy,Government,Telecom,Aerospace/ Airlines,Oil & Gas,IT/Software,Media/ Entertainment • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B,H4-EAD, L2-EAD, GC-EAD • Client: To Be Discussed Later • Employment Type: W-2, 1099, C2C View All Jobs Similar Jobs • Databricks Data Engineer - Dallas, TX • AI Engineer - Oregon, IL • Databricks Data Engineer - Harrisburg, PA • AWS Cloud Engineer - Stamford, CT • Java Full Stack Engineer With React and AI - Mountain View, CA Job 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 usage • Implement and fine-tune RAG pipelines for contextual knowledge integration • Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools • Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications • Collaborate with product teams to implement AI-driven features with seamless developer experience • Build scalable APIs for model access, integration, and service orchestration • Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling Required 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 similar • Hands-on with Cursor AI for development, debugging, and agent orchestration • Experience building and consuming RESTful APIs • Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning • Experience with prompt engineering, tool calling, and multi-agent collaboration setups • Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks