AI Engineer – Agentic Systems & RAG

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); On-site; USD 83,000 - 152,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Charlotte, NC seeks an AI Engineer specializing in agent development, RAG, and agentic workflows. You will design and deploy AI agents that reason, act, and integrate across tools and data sources, with emphasis on RESTful APIs and modular architecture.

The role requires hands-on experience with Cursor AI, LangChain/AutoGen, and building scalable AI-powered solutions capable of operating across multiple platforms and data stores, with DOE compensation.

Qualifications

• Strong programming skills in Python or equivalents (Go/Node.js a plus).
• Experience in developing autonomous agents and agentic workflows using 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, vector stores (FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning.
• Experience with prompt engineering, tool calling, and multi-agent collaboration setups.
• Solid understanding of LLMs, fine-tuning strategies, and evaluation frameworks.

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 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

Skills

Python

Go/Node.js

Agent development

LangChain

AutoGen

Cursor AI

RESTful APIs

RAG architectures

Vector stores

Embedding models

Prompt engineering

Multi-agent collaboration

Tools

Cursor AI

Job description

Job Overview

• Job ID: J53021


• Job Title: AI Engineer – Agentic Systems & RAG


• 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

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

Equal Opportunity Employer

MACHINE 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 contract