AI Agent Engineer: RAG & Agentic Workflows

Artifintech

Charlotte (NC)

On-site

USD 120,000 - 190,000

Full time

10 hours ago
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Job summary

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking an AI Engineer to design, build, and optimize autonomous agents that can reason, act, and integrate with tools and data sources. The role emphasizes practical development across RAG pipelines and agent orchestration using Cursor AI.

The candidate will work closely with product teams to ship AI-driven features, develop scalable APIs, and stay at the forefront of LLMs, agent frameworks, and tooling."

Qualifications

  • Strong Python programming skills and API integration experience.
  • Experience building autonomous agents and agentic workflows.
  • Hands-on with Cursor AI for development and orchestration.
  • Proficient in RESTful API design and consumption.
  • Knowledge of RAG architectures and vector stores.
  • Experience with prompt engineering and multi-agent setups.

Responsibilities

  • Design and optimize AI agents capable of reasoning and tool use.
  • Implement and fine-tune RAG pipelines for knowledge integration.
  • Develop and manage agentic workflows across APIs and tools.
  • Prototype and deploy agent-based applications using Cursor AI.
  • Collaborate with product teams to ship AI-driven features.
  • Build scalable APIs for model access and orchestration.
  • Stay current with advances in LLMs and agent orchestration.

Skills

Python
Autonomous agents
LangChain
AutoGen
Cursor AI
RESTful APIs
RAG architectures
Prompt engineering
LLMs

Tools

FAISS
Pinecone
Weaviate
Embedding models

Job description

ARTIFICIAL INTELLIGENCE TECHNOLOGIES LLC is seeking an AI Engineer to design, build, and optimize autonomous agents that can reason, act, and integrate with tools and data sources. The role emphasizes practical development across RAG pipelines and agent orchestration using Cursor AI.

The candidate will work closely with product teams to ship AI-driven features, develop scalable APIs, and stay at the forefront of LLMs, agent frameworks, and tooling."

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