AI Engineer – Agentic Systems & RAG

Job Overview

Job ID: J53021
Location: Charlotte, NC
Duration: 20 Months + Extension
Hourly Rate: Depending on Experience (DOE)
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

About the Role

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